書目名稱 | Machine Learning in Medical Imaging | 副標(biāo)題 | 14th International W | 編輯 | Xiaohuan Cao,Xuanang Xu,Xi Ouyang | 視頻video | http://file.papertrans.cn/621/620675/620675.mp4 | 叢書名稱 | Lecture Notes in Computer Science | 圖書封面 |  | 描述 | The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023.?. The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on?major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.. | 出版日期 | Conference proceedings 2024 | 關(guān)鍵詞 | artificial intelligence; bioinformatics; computer networks; computer science; computer systems; computer | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-45673-2 | isbn_softcover | 978-3-031-45672-5 | isbn_ebook | 978-3-031-45673-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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