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Deep Learning in Medical Image Analysis: Challenges and Applications - Advances in Experimental Medicine and Biology 2020 edition
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Deep Learning in Medical Image Analysis: Challenges and Applications - Advances in Experimental Medicine and Biology
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems.
181 pages, 114 Illustrations, color; 17 Illustrations, black and white; VIII, 181 p. 131 illus., 114
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 7. februāris |
| ISBN13 | 9783030331306 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 181 |
| Izmēri | 150 × 220 × 10 mm · 340 g |
| Valoda | Vācu |
| Redaktors | Fujita, Hiroshi |
| Redaktors | Lee, Gobert |
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