书目名称 | Machine Learning in Medical Imaging | 副标题 | 13th International W | 编辑 | Chunfeng Lian,Xiaohuan Cao,Zhiming Cui | 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 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022.. The 48 full papers presented in this volume were carefully reviewed and selected from 64 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. | 出版日期 | Conference proceedings 2022 | 关键词 | artificial intelligence; bioinformatics; computer networks; computer science; computer systems; computer | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-21014-3 | isbn_softcover | 978-3-031-21013-6 | isbn_ebook | 978-3-031-21014-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | Springer Nature Switzerland AG 2022 |
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