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Titlebook: Interpretable and Annotation-Efficient Learning for Medical Image Computing; Third International Jaime Cardoso,Hien Van Nguyen,Samaneh Abb

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書目名稱Interpretable and Annotation-Efficient Learning for Medical Image Computing
副標(biāo)題Third International
編輯Jaime Cardoso,Hien Van Nguyen,Samaneh Abbasi
視頻videohttp://file.papertrans.cn/473/472707/472707.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Interpretable and Annotation-Efficient Learning for Medical Image Computing; Third International  Jaime Cardoso,Hien Van Nguyen,Samaneh Abb
描述.This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020...The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. 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. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; bioinformatics; classification; computer vision; deep learning; image analysis; i
版次1
doihttps://doi.org/10.1007/978-3-030-61166-8
isbn_softcover978-3-030-61165-1
isbn_ebook978-3-030-61166-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Conference proceedings 2020 Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd Internatio
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