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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical 1st ed. 2019 edition
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical
This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases.
461 pages, 156 Illustrations, color; 21 Illustrations, black and white; XI, 461 p. 177 illus., 156 i
| Media | Books Book |
| Released | October 1, 2019 |
| ISBN13 | 9783030139681 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 461 |
| Dimensions | 243 × 163 × 28 mm · 839 g |
| Language | German |
| Editor | Carneiro, Gustavo |
| Editor | Lu, Le |
| Editor | Wang, Xiaosong |
| Editor | Yang, Lin |