Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, ... Notes in Computer Science Book 12446)

Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, ... Notes in Computer Science Book 12446)

Jaime Cardoso , Hien Van Nguyen , Nicholas Heller
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Oct 3, 2020 · 英語 · キンドル (318 ページ)
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本の詳細

形式 キンドル
ページ数 318
言語 英語
公開されました Oct 3, 2020
出版社 Springer
ISBN-10 3030611663
ISBN-13 9783030611668

説明

This collection of proceedings presents the insights gained from the Third International Workshop on Interpretable and Annotation-Efficient Learning for Medical Image Computing. Aimed at fostering collaboration among researchers, it delves into the challenges and advancements in the field, particularly focusing on innovative methods to enhance interpretability and reduce the need for extensive annotations in medical imaging processes.

Various contributors share their research findings and strategies, shedding light on the latest techniques that improve the accessibility and understanding of medical image analysis. With contributions from seasoned experts, this compilation serves as a significant resource for both newcomers and established professionals aiming to push the boundaries of medical image computing.
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