Questions related to Artificial Intelligence
The Olympic Games in Tokyo 2020 should be used a big lot of new technologies in the communication and information areas. As an example, it should be the 12K video on the 50-meter screen in the Harbor, Augmented Reality in the Olympic pool, etc. But the PANDEMIC limitations can cancel these innovations. Do you participate in Olympic Games? What do you know about new technologies at this event?
For example AI can automate processes in the initial interpretation of images and shift the clinical workflow of radiographic detection, management decisions. But what are the clinical challenges for its application?
#AI #cancer #clinical #oncology #biomedical
Like other meta-heuristic algorithms, some algorithms tend to be trapped in low diversity, local optima and unbalanced exploitation ability.
1- Enhance its exploratory and exploitative performance.
2- Overcome premature convergence (increase the fast convergence) and ease of falling (trapped) into a local optimum.
3- Increase the diversity of population and alleviate the prematurity convergence problem
4- The algorithm suffers from an immature balance between exploitation and exploration.
5- Maintain the diversity of solutions during the search, so that the tendency of stagnation towards the sub-optimal solutions can be avoided and the convergence rate can be boosted to obtain more accurate optimal solutions.
6- Slow convergence speed, inability to jump out of local optima and fixed step length.
7- Improve its population diversity in the search space.
I was recently advised it might be predatory and I struggle to decide whether I should still choose to publish with them, keeping in mind I am at the debut of my PhD and it would be problematic to start my research career by publishing with a controversial journal.
Hi, I am looking forward for collaborators (academic and research work) who are interested to work in the following area:
Quantum Artificial Intelligence
Internet of Drones
Blockchain and Quantum Computing
I would like to have a classification model to identify trends within my dataset. My dataset is a continuous data type (time series data of a variable that will increase/decrease over time). But the time series data will increase and decrease at different rates (and the rate of increase will determine the class of my model).what would be the more appropriate AI model? Do help thanks. I would think a decision tree model would be good. But would like to explore other types of models available.
Scientists agree that a pathogen is likely to cause a global pandemic in the near future. But which one? And how?
Engineering sciences are always based on
successive approximation; therefore the use of AI and ML is
quite justified to face the challenge of climate change and new
pandemic. The Question is:
How to strengthen our mastery of
these tools and create other complementary ones in order to face new challenge such as: Climate change and new pandemic like covid 19.
I do request financial support for bridging AI and ML.
I've got successful tool discovery based on bridging EDI with SGML thanks to financial support by Insurance companies in France.
Tool description with representative semantic web applications is detailed at the following link: http://www.ediaudit.fr/
Tell us how you perceive AI and its adoption.
AI- Future is here! Blurring the lines of reality and fiction. A good 2 minute read on basics to help one start on their “pursuit of AI” Looking forward to the series @SandeepPandey Link to article: https://lnkd.in/er-sWQK Link to post: https://lnkd.in/e7ANuJ7
Link to our paper on ROI computation for AI investments:
I have been reading certain publication that mainly talks about Artificial Intelligence and how it affects behavioural capability in general (DOIs:10.1007/s10676-021-09598-8, 10.1177/2057047320950636, 10.2196/22845, 10.1007/s41649-018-0061-0, and so on). Along with the exponential progression of AIs in certain applications (Such as, but not limited to, Chatbots programmes).
It seemed somehow apparent to me, that there have been emotionalization towards AIs, such as employing it as friend. Of course the depicted AIs in popular culture references and sci-fis are, well of course still currently in the realm of "Sci-fi".
But seeing the progression, along with the prolonged isolation from social interaction (mainly due to pandemic) in many countries. How should we view such term? Especially towards the notion of self-consciousness, humanization, and of course biological realization in human-bots interaction?
Is it something that we must stay neutral, look forward upon, or perhaps an inevitable shift that will forever change how we view the norm.
Hello, research community,
I am looking for some open problems in bioinformatics specifically in the area of, but not limited to, proteomics, and genomics. Since I am new to this area, any useful suggestions, a discussion on open problems and relevant resources are welcome.
Like other meta-heuristic algorithms, some algorithms tend to be trapped in low diversity, local optima and unbalanced exploitation ability.
I am looking for a non-open-access journal with an impact factor of less than 2.50 for publication related to satellite imagery (cloud classification/detection)-based solutions with AI.
Any assistance on this matter will be highly admired.
Artificial intelligence can assist doctors in finding the right treatments among many options for cancer, Capturing data from various databases relating to the condition, AI helps physicians identify & choose the right drugs for the right patients, AI supports the decision-making processes for existing drugs & expanded treatments for other conditions, as well as expediting the clinical trials process by finding the right patients from a number of data sources.
As you know, artificial intelligence has become a trend these days, and with the development of embedded systems, it has become necessary to work on projects that combine the two topics. The first topic most of time is a trained model, while the second is a hardware controlled by a code in its memory, My question is how to integrate the two topics, for example, how to download a trained model after complete training it on a Drone or Raspberry Pi or other systems.
Generally when it comes to assessing the performance of an ANN the most reliable approach is using a test set. However, as you further progress into the future there will be no more test data to use, as your model will provide the estimated values. In this regard, if you want to retrain your ANN using new incoming data you cannot test your adjusted model anymore. On what terms should you choose between two trained models without a test set? Validation error, loss etc. ? I look forward to any suggestions.
Hi, I'm a beginner student looking for someone who is interested and passionate about the various subfields in AI, mostly computer vision. I'm really interested in deep learning and want to write a good research paper in computer vision (vehicle detection ) but don't have any friends with whom I can discuss and research on certain topics. I don't know if it's the right place to discuss this but please let me know if anyone is willing to work on research papers together as a team. Thanks
I would like to dive into the research domain of explainable AI. What are some of the recent trending methodologies in this domain? What can be a good start to dive into this field?
I was exploring federated learning algorithms and reading this paper (https://arxiv.org/pdf/1602.05629.pdf). In this paper, they have average the weights that are received from clients as attached file. In the marked part, they have considered total client samples and individual client samples. As far I have learned that federated learning has introduced to keep data on the client-side to maintain privacy. Then, how come the server will know this information? I am confused about this concept.
Thanks in advance.
If artificial intelligence is implemented for the online mobile banking, can this banking segment be deprived of employing human capital altogether?
how to calculate number of computations and parameters of our customized deep learnig algorithm designed with MATLAB
I want to know is there any AI based software available for windows which can detects image duplications in scientific journals.
Hi. I'm doing a classification problem using deep learning. so that need to train 512x512 images but when i trained my algorithm shows out of memory error. I want to know how much memory size needed to train 512x512 images in MATLAB.
I am highly interested to do a PhD in Artificial Intelligence, could any one suggest me which would be the challenging field in the coming future, and any ideas on the research projects related to Computer Vision, Machine learning, and Neural Networks sectors.
The purpose of this discussion is to find out if the AI and ML techniques are being used practically in geotechnical projects or their applications are still limited to academic studies. If they have been accepted as reliable design approaches, has any standard been developed for systematic application of these techniques?
Do you think artificial intelligence will be implemented for computer games?
What can be the effects of artificial intelligence implemented for computer games?
Please, answer, comments.
I invite you to the discussion.
How does one make their marketing mix be more agile to new channels, ever changing environment. what are the models used for this analysis and their interpretation.
our paper on MMM- complex models and interpretations to discuss the advertising effects, models- simple and complex to collate it all together.
Please read, review and suggest how we can add on to enhance our research going forward
During the last some years, artificial intelligence (AI) is impacting most areas of management, including the different functions of the management of the human resource. Which aspects of HRM, you think, are being affected the most in this regard and through what interventions?
I modeled a multi class predicting neural network I provided train data (800 entries)and prepared model for prediction. Now I used test data (100 entries) and predicted there corresponding label correctly. Is it possible to get a prediction for a single user input. Hand written digits prediction dataset, I loded from keras, I am unable predict the hand written digits captured from mobile camara and reduced to required pixel ratio and converted to gray scale then scaled and flattened then supplied to neural network.
I am about to write my proposal and I decided to work on the Attention mechanism in AI.
Does anyone have experience in this field?
which area of artificial intelligence not covered yet by the attention mechanism?
I need to know what is the latest work done in this field? Any problem facing it? suggesting some papers that could help me to explore it more?
Thanks in advance,
Hello,I am a btech student. I want to do a project on artificial intelligence and machine learning. So,can anyone guide me on this.please ping me
For example: let us consider the machine learning and AI based algorithms. The way we are moving towards technology, will it be a problem in 20 years from now, that students, might not opt for research at all, provided the depth and volume of existing works would have increased tremendously. At a certain level of abstraction they might, but will they dig more deep?
This may sound like a chicken and egg problem as new questions are usually based on previous answers. In my understanding, nowadays that many answers could be found via simple googling, asking (novel and good) questions are more important as they could hardly be generated by artificial intelligence. On the other hand, providing useful answers to such questions is challenging as well. What is your opinion?
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
In connection with the above, I would like to ask you:
Which information technologies of the current technological revolution Industry 4.0 to the greatest extent support the logistics management process of the enterprise?
Hi! I'm trying to train a convolutional neural network (CNN) using Keras for leaves disease classification from images. There are very few plant disease image datasets, so I need to use one of the available TensorFlow datasets for training my model: specifically, two TensorFlow datasets are suitable for this task: 'plant_village' dataset and 'plant_leaves' dataset.
The problem is I don't know how to explore that datasets for see the classes, features, labels... and I don't know how to split them in training, validation and test datasets. I've tried to use the code that is used in TensorFlow docs to explore and manage 'CIFAR10' or 'mnist' datasets, but it doesn't work with the plants image datasets...
Can someone suggest me how to explore and manage 'plant_village' and/or 'plant_leaves' datasets, please?
I know this has no fixed answer. To give the question a direction, what are the best set of feature engg, data validation, data cleaning, feature extraction, feature selection (these cover data-centric approach), image data modeling, language modeling, hyper-parameter opt. and deployment techniques which should be adopted to get optimal models in less number of hit and trials. Answer to this questions demands experience and structuring best yielding methods you've learned till date. This question is open so that different domain experts can give their own views. E.g. A researcher who has extensively worked in NLP can suggest a pipeline which he/she may follow.
I would appreciate if you could suggest to me a topic for a PhD research. Artificial Intelligence Algoritme that needs improvement. Or suggest me some interesting papers that could help to find some gaps and write a proposal.
At the moment we hear a lot about artificial intelligence and machine learning. It is an awesome development, unimaginable completely or partially, now. How and when humans will gain the benefits of the Used Technology? We don't know yet. You can imagine many useful applications. For the benefit of all humanity. However: Everything in life has positive and negative aspects, has pros and cons. Recently I read the books: Cathy O’Neil Weapons of math Destruction: How Big data increases inequality and threatens democracy (recommended me by Marco Rao in another discussion here in RG) or published this year: Frank Schätzing: “Die Tyrannei des Schmetterlings” (“The tyrannies of the butterfly”. Inspired by that, I attended a lecture by a mathematician about machine learning yesterday. He talked about different methods and algorithms. I’m not a mathematician, but I learned a lot. A current application example for machine learning has made me think: With the methods of machine learning, it is decided for patients after a stroke, who gets a rehabilitation and with whom this is no longer worthwhile. Parameters such as age, various body parameters and the current state after the stroke are included in these forecasts. This is really being used in Germany. My mother (77 years) had a stroke in 2011. According to the survey of the health insurance company, she should only receive a three-week rehabilitation, but not for three months. We asked the surveyor of the health insurance why she does not get the longer and thus better rehabilitation program. He answered that the prognoses for this group of patients are worse A major rehabilitation would not be worthwhile. Now I understood what happened then: Machine learning, algorithms have decided how my mother is treated! By the way, the story went well: My brother is a doctor. He fought for my mother to get the big three-month rehabilitation. She was completely well again, could do everything alone again and lived well for four more years. Machine learning and algorithms would not have given her that opportunity. But I’m very, very thoughtful. Everything in life has positive and negative aspects, has pros and cons. What wins in the end depends on many circumstances! The positive can only succeed if the negative is reduced or eliminated. Therefore, one must also look at the negative, make aware, know. You cannot ignore it. Do not close one's eyes to potential problems. Possibilities and limitations of new technologies. How much control must and can humans keep about processes? Can models, computers and algorithms really everything as more and more is suggested? And is the result compelling in the sense of mankind? Or do the technologies create a reality that is logically and correct in the sense of artificial intelligence? May be artificial intelligence develops its own value frame and own rules? Because artificial intelligence has to learn and develop independently in order to be... What do you think?
The 264 word lists are for historical reference, the 277 word lists are more recent and comprehensive.
The original lists were alphabetically sorted. The clustered lists organize the function words by grammatical type to optimize the attributes (in this case for use in a decision tree classifier). See paper for details.
Conference Paper Optimizing Features for Dialogue Act Classification
I would appreciate it if someone can help me choose a topic in AI Deep Learning or Machine Learning.
I am looking for an Algorithm that can be used in different application and have some issues in terms of accuracy and result, to work on its improvement.
recommend me some papers that help me to find some gaps so I can write my proposal.
Bolisani, E. & Bratianu, C. The Elusive Definition of Knowledge Knowledge Management and Organizational Learning, 2018, 1-22, explores various definitions of knowledge.
If knowledge is acquired after solving a problem, then finding good problems may be an important prerequisite.
In that regard there are also these somewhat related articles:
What are your views? Are there examples illustrating your views?
I have started doing my research on Artificial Intelligence and Human Resource Functions.
The problem I am facing is in finding any standardized questionnaire for the same.
Can anyone help me with any questionnaire or provide me details on what kind of questions I can add to show the Impact of AI on HR functions, specifically in the IT industry.
I am working on my research and looking for an IoT simulator environment or software to provide the following capabilities or provide integration to other tools to provide capabilities.
I have already looked at NS-3 briefly and NetSim.
- IoT network system with simulation of different IoT architecture such as Star or Mesh
- AI including Reinforcement learning capabilities
- Monitoring and capturing network activities/packets
- Cyberattack scenario simulation
- Possible 5G capabilities
Appreciate your help,
Demands for obtaining higher quality effluent from wastewater treatment plants (WWTP) are increasing day by day. In order to meet these demands, WWTPs need to be operated and controlled more efficiently. In modeling the treatment process dynamics, it is possible to monitor the pollution parameters of the treatment plant and to control these pollution parameters during treatment in a faster, more reliable and economical way. The purpose of these program models will be to predict the treatment problems that may occur in the future, to intervene in the facility on time and faster, to reduce or prevent environmental pollution in the future, to improve the ecosystem, to determine the treatment efficiency of the treatment plants by requiring less laboratory scale reactors and pilot plants.
Intelligent Transportation Systems(ITS) are widely used in the world for traffic management. However, there are still many questions about the effective use of these systems. For example, are intelligent transportation systems used efficiently enough? Do different intelligent transportation systems have the ability to interact with each other? Is proactive control possible with traffic control centers? Can Artificial Intelligence be used for proactive work? Can the performance of the system or center be increased with artificial intelligence? I am curious about your ideas and/or experience on this subject.
Naseer Bhat asked "What is consciousness? What is its nature and origin?" We do not know. We can speculate about nature and origin but for what should this be good? I think there is a necessitiy in data processing which forced the evolutionary process to create this phenomenon. I am sure anticipation, association and social interaction are part in this process. May be the analyssis of wet brains will bring some light in this question, but we should follow this question step by step in bottom up manner asking what an organism needs to process the environmental and inner data. To decide if there is consciousness we need a significant prove method. This would be a much harder problem then creating a consciousness automata.
I want to make a predictive model with the problem classifications (two classes: 0 and 1). Therefore, it would be mind to receive a suggestion from you about any method in Artificial Intelligences (AIs) and others. Note that, for example, my target problems vary regarding the time variations and etc. I hope that you all will be kind in my attempt.
Thank you in advance for your help.
We are conducting a survey on colleagues' pereceptions and Expectations towards Artificial intelligence in Capsule Endoscopy
The survey can be found in the following link:
thank you, everyone
Have you ever taken part in empirical studies to assess effectiveness and goodness of factual and counterfactual explanations in the context of Explainable AI?
Please, contribute to our project by filling in the following survey (it should takes about 30 min) and then share with us your thoughts.
Theoretical researches were done by many institutions and academicians in replication and scalable transaction management in geo-replicated cloud storage services but the implementation of different technologies to them is so rural. Therefore, I implement Machine Learning to said areas in cloud storage services which Machine Learning is a sub-group of Artificial Intelligence. I did not research only subjects, I created prototype solutions for future problems which I predict from the “quantity creates quality” statement because the quantity of users in cloud storage increase demands to quality. These demands can meat by data which were generated by a big amount of users or just by quantity. Am I right? :)
When a computer calculates a sum, is the sum artificial or the calculating agent is?
When a computer uses the relation "true-and-false = false" which is artificial the underlying logic or the computer?
Mathematics is the basis of exact sciences. The development of mathematics consists in the fact that, among others, new phenomena of the surrounding world, which until recently were only described in the humanistic perspective, are also interpreted in mathematical terms.
However, is it possible to write down the essence of artistic creativity in mathematical models and create a pattern model for creating works of art, creative solutions and innovative inventions? If that was possible, then artificial intelligence could be programmed to create works of art, creative solutions and innovative inventions. Will it be possible in the future?
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Will mathematics help to improve artificial intelligence so that it will achieve human qualities of artistic creativity and innovation?
I invite you to the discussion
I am doing MSc in project management and searching for a topic for my thesis.
My case study is construction projects in the steel industry. I have also studied in the following areas:
- Risk management
- Formulation for the project scheduling problem
- Application of artificial intelligence in estimating and predicting project time , cost and resources.
In above fields or any other field , all the hot topic suggestion would be much appreciated.
thank you in advance
AI-based techniques such as DNN, Fuzzy, SVM, and ANN show different forecasting performances for different pollutants such as Particulate matter,SO2, NO2.
Say for e.g. - DNN outperforms other techniques in PM forecasting
- SVM outperforms other techniques in SO2 forecasting.
I am curious to know about the deep logic behind this response of AI techniques.
P.S.- I know the source and origin of the air pollutants might be having some important role to play in this matter.
If multiple deep learning (DL) algorithms are merged together to create models then the system will be complex.
To analyze this, how to calculate complexity?
Is there any formal way or mathematical proof to analyze this kind of complexity of DL models?
Thanks in advance.
Conceptualizing a Research topic binding materials and space structures (architecture), Artificial intelligence and human health (astronaut) health in microgravity/ Mars.
I have presently thought of enhanced gravity-based architectures aiding astronaut health constructed by robonauts on Mars.
Let me know your views.
Urbanization without consideration of Sustainable Development Framework, how impacted with the Eco-system?
In this regard I'm looking an AI tools which can measuring intensity, total effect, long run development impact in eco-system. Result may be statistically significant in 95% confidence interval and opposite in 5% interval.
I am conducting a study to evaluate Google's responsible AI review process.
Context: When AI solutions and technologies are proposed, the Google Responsible AI team conducts a review to ensure the proposed solution/technology aligns with its established AI principles.
I would like to apply Rate (1994) Ethical Decision Making (EDM) framework to validate the integrity of the review process, and to establish if an EDM framework is useful in augmenting the level of confidence in the intended outcomes of the proposed AI solutions
I would welcome thoughts, suggestions, and ideas on an evaluation approach
The WuDao 2.0 model of China Neural Network (NN) with 1,75 trillion parameters topped the 1.6 trillion that Google unveiled in a similar model in January 2021. Is it the start of Race to Quadrillion parameters NN? Do you have additional information about the structure and design of such ultra big NN?
I think this discussion would help a lot of people if you could share your finding and experiences:
According to the different options that a PhD student can have like Fellowship, Internship, Studentship, traineeship and about different positions that can catch like being a researcher at academic place or industry or work, what do you think a PhD student especially in the field of AI must follow during his/her PhD years of studying which could give him/her good experience and position for the future? what do you consider to choose a PhD student or postdoctoral for your positions? should a PhD student just focus on his/her research or do more research in other field as well? what would be the best plan for different years of doing PhD? please share your experiences about the different options and plans which a PhD student can catch and then continue it after that to have a good potential and use time efficiently.
What are the factors that predispose patients to treatment-resistant depression?
What are the advances that predict antidepressant treatment response for depression?
Two articles about prediction of antidepressant treatment response by using artificial intelligence technology and machine learning algorithms:
- An electroencephalographic signature predicts antidepressant response in major depression (doi:10.1038/s41587-019-0397-3)
- Brain regulation of emotional conflict predicts antidepressant treatment response for depression (doi:10.1038/s41562-019-0732-1)
There is a lot of research on AI-based air pollution forecasting, but very few have put up a reasonable explanation in this regard.
I want to know what might be the reasons for the performance drop ??
Is it a problem of data length or any other issue ??
I have found an association between social distancing attitudes and the willingness to do social distancing, as studied on a Likert type scale (Never to Always). Now there is also an association between what type of work they have and the same response.
My question is how can I isolate the influence of city from the influence of line of work? Wondering if there is a technique for nominal/ordinal variables similar to adjustment/control variables in regression. I would be interested in anything from AI / statistics, preferrably to be used in R or Excel.
And open for collaborations if anyone wants to co-author or similar
We call Donald Trump and Boris Johnston and his cat and the mice that the cat hunts and the fleas on the mice and the coronavirus etc LIVING. But Boris's desk and his TV and the computer program that beats him at chess and and his electronic android servant (soon!) and windmills (cf Don Quixote) and holograms and ghosts we call NOT LIVING. But what is the difference? As a mathematical kind of person I would really like to know ... and rather precisely... it matters for agent based modelling etc
Note -- the difference is surely not about reproduction -- computer programs and machines can easily generate and distribute copies of themselves.
I was wondering to ask you to share with me the works that used AI/machine learning for determining the parameters of a constitutive model. Thanks.
We are in need of ECG data of covid19 patients in an effort to classify suspected patients who could possibly be infected by the coronavirus.
Other biodata like respiratory rate, body temperature, pulse or HRV should also prove helpful.
Any information on the possibility of future release of such data would be greatly appreciated.
Hello .. for PHD , i need topics for my research in the field of AI and machine learning , is there any suggestion, pls?
Hello everyone, we have been working on a very interesting AI hobby project for quite sometime now. It's about the work around of a data selection technique such that a predictor as low as the mixtures of gaussian model can be used for probability predictions on the image dataset. It has shown some success on MNIST dataset. We would like your criticism and corrections as there would be the implementation of the major AI techniques and other useful ones.
We would like the current progress of the project in source code to be made available to other hackers for any contributions at [email protected]
According to the nature of temporal data, strategies like k-fold cross validation is not an appropriate idea since we cannot remove the dimension of time. In this discussion we want to explore ideas about testing models for temporal data.
Hi everyone, in the sequel of the previous discussion for Artificial Intelligence Scenarios on Automotive Dealer where you helped a lot find out some useful scenarios, now it's the time to discuss how we can take the advantage of association rules. I am searching for possible applications in the Automotive Business.
Below there is a simple example of a basic scenario that I have discovered already and I would like to enhance it or discover new ones, that could help Automotive Industries on taking proper business actions:
1. Based on labor and item relations that are produced through each service basket (invoice) you can manage your shelves, shelves that containing items that are used frequently together need to be close, or labors/items that are used frequently together need to be in the area of specific labor type, or make promotions that can result in an increase of sales.
What do you think?
“The interaction of a field with a thin scattering layer corresponds to multiplication with a diagonal matrix“
Original from：Wetzstein, Gordon, et al. "Inference in artificial intelligence with deep optics and photonics." Nature 588.7836 (2020): 39-47.
Call to participate in a research survey! for #Project #Management practitioners in the #UAE, please consider giving about 10 minutes to fill in the survey about the research that is aligned with UAE's vision of A.I. and Digital transformation. Survey: https://lnkd.in/d9BGUt9 Thank you so much in advance! #research #science #digitaltransformation #artificialintelliegence #UAE #agilemindset #artificialintelligencetechnology
If you are related to Project Management by any means in the UAE, please consider giving about 10 minutes to fill in the survey about the research that is aligned with UAE's vision of A.I. and Digital transformation.
Thank you so much in advance!
Hello everyone. Thank you for considering this question.
I have some tiff image stacks from MicroCT. I am trying to isolate porosity using a variety of tools available to me including FIJI ImageJ, Avizo, and Python: OpenCV and SciKit Image packages. Most of my X-ray stacks are easily segmented using the histogram, but these high resolution stacks are particularly difficult. Whilst edges are quite clearly defined, pore space and material solid are within identical intensity ranges, therefore using histograms to threshold is producing large pores as solid, or on the other side of the threshold, large pores within the solid material.
As preparation on these image stacks, I have used a median filter to preserve edges and then attempted a variety of thresholding techniques, all of which provide the errors mentioned above. AI is obviously the next step and I have used Tensorflow in Python to write my own U-net but unfortunately I cannot find a suitable thresholded microCT dataset to train the program. This left me in a catch 22. In order to use AI to threshold my dataset, I needed to threshold my dataset to train the AI. This would in turn threshold my already thresholded dataset.
I have included an example from the stack below. Please could anyone suggest an alternative method? As a last resort, I plan to use the histogram to threshold and then correct the pores by painting them in image by image. Time consuming, but at this stage, I am feeling like it is my only option.
Any help or suggestions welcome.