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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 7, 2021 |
| ISBN13 | 9783030331306 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 181 |
| Dimensions | 150 × 220 × 10 mm · 340 g |
| Language | German |
| Editor | Fujita, Hiroshi |
| Editor | Lee, Gobert |
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