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| Titolo: |
Machine Learning in Medical Imaging : 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings / / edited by Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (721 pages) |
| Disciplina: | 006.31 |
| Soggetto topico: | Computer vision |
| Artificial intelligence | |
| Computer engineering | |
| Computer networks | |
| Pattern recognition systems | |
| Bioinformatics | |
| Computer Vision | |
| Artificial Intelligence | |
| Computer Engineering and Networks | |
| Automated Pattern Recognition | |
| Computational and Systems Biology | |
| Persona (resp. second.): | LianChunfeng |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Machine Learning in Medical Imaging ![]() |
| ISBN: | 3-030-87589-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910502639803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |