| 書目名稱 | Machine Learning in Medical Imaging | | 副標題 | 12th International W | | 編輯 | Chunfeng Lian,Xiaohuan Cao,Pingkun Yan | | 視頻video | http://file.papertrans.cn/621/620678/620678.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*.The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. .*The workshop was held virtually.. | | 出版日期 | Conference proceedings 2021 | | 關鍵詞 | artificial intelligence; big medical imaging data analytics; bioinformatics; cellular image analysis; co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-87589-3 | | isbn_softcover | 978-3-030-87588-6 | | isbn_ebook | 978-3-030-87589-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2021 |
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