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Beschreibung
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.12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 27. September 2021 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 1077 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030875886 |
| Auflage | 1st ed. 2021 |
| Seiten | 704 |