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Titlebook: Interpretability of Machine Intelligence in Medical Image Computing; 5th International Wo Mauricio Reyes,Pedro Henriques Abreu,Jaime Cardos

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書目名稱Interpretability of Machine Intelligence in Medical Image Computing
副標題5th International Wo
編輯Mauricio Reyes,Pedro Henriques Abreu,Jaime Cardoso
視頻videohttp://file.papertrans.cn/473/472701/472701.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Interpretability of Machine Intelligence in Medical Image Computing; 5th International Wo Mauricio Reyes,Pedro Henriques Abreu,Jaime Cardos
描述This book constitutes the refereed joint proceedings of the 5th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2022,? held in September 2022, in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022..The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.?.
出版日期Conference proceedings 2022
關鍵詞artificial intelligence; bioinformatics; computer systems; computer vision; deep learning; evolutionary a
版次1
doihttps://doi.org/10.1007/978-3-031-17976-1
isbn_softcover978-3-031-17975-4
isbn_ebook978-3-031-17976-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Explainable Artificial Intelligence for?Breast Tumour Classification: Helpful or?Harmful, of mammograms. The main contribution of this research is the discovery that the 3 techniques consistently disagree both with each other and with the medical truth. We argue that using these off-shelf techniques in a medical context is not a feasible approach, and discuss possible causes of this problem, as well as some potential solutions.
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Conference proceedings 2022tion, MICCAI 2022..The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention.?.
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