| 书目名称 | Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis a | | 副标题 | 4th International Wo | | 编辑 | Mauricio Reyes,Pedro Henriques Abreu,Lokendra Thak | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021..The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 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. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.. | | 出版日期 | Conference proceedings 2021 | | 关键词 | analysis of biomedical data; classification methods; computer networks; computer science; computer syste | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-87444-5 | | isbn_softcover | 978-3-030-87443-8 | | isbn_ebook | 978-3-030-87444-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2021 |
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发表于 2025-3-21 19:15:19
