ICACT20230066 Question.1
Questioner: liuyuya@ucas.ac.cn 2023-02-21 오전 11:10:04 |
ICACT20230066 Answer.1
Answer by Auhor mjs9908@g.skku.edu 2023-02-21 오전 11:10:04
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| Can the proposed model give the inference evidence, such as a part of data that indicate the blood clot? |
thank you for your question.
proposed model is for prediction thickness of blood clot about 4 stages.
so, this model can give only accuracy of prediction. |
ICACT20230066 Question.2
Questioner: s.ahmed1@massey.ac.nz 2023-02-21 오전 11:14:12 |
ICACT20230066 Answer.2
Answer by Auhor mjs9908@g.skku.edu 2023-02-21 오전 11:14:12
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| Dear author, Thank you very much for your presentation. How you divided data into different stages. For example, from 1280 training data, are they taken equally from each stage? why did you consider the test data set small? |
hi thank you for your question.
so, when i got the data from other laboratory, the stages are divided by them, but each stage is divided by thickness of blood clot.
and then, whole data has small number, so we tested at small number of test data. |
ICACT20230066 Question.3
Questioner: liufan@nus.edu.sg 2023-02-21 오후 3:46:50 |
ICACT20230066 Answer.3
Answer by Auhor mjs9908@g.skku.edu 2023-02-21 오후 3:46:50
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| What are the current challenges and limitations of integrating deep learning techniques into thickness prediction? |
Hi thank you for your question.
I think, In multimodal learning, feature concatenation task is important. because the different type of data has different feature, so important thing is integrating feature. |
ICACT20230066 Question.4
Questioner: saby9996@terenz.ai 2023-02-22 오후 8:07:05 |
ICACT20230066 Answer.4
Answer by Auhor mjs9908@g.skku.edu 2023-02-22 오후 8:07:05
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| Does this model gives access to Explainable AI ? |
hi thank you for your question.
I've never thought about that part. sorry |
