| 书目名称 | Machine Learning in Medical Imaging | | 副标题 | 10th International W | | 编辑 | Heung-Il Suk,Mingxia Liu,Chunfeng Lian | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. .The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. .They focus on major trends and challenges in the 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. . | | 出版日期 | Conference proceedings 2019 | | 关键词 | artificial intelligence; automatic segmentations; ct image; image analysis; image reconstruction; image r | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-32692-0 | | isbn_softcover | 978-3-030-32691-3 | | isbn_ebook | 978-3-030-32692-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 16:44:22
