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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics - Advances in Computer Vision and Pattern Recognition 2019 edition
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics - Advances in Computer Vision and Pattern Recognition
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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 1 de octubre de 2020 |
| ISBN13 | 9783030139711 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 461 |
| Dimensiones | 150 × 220 × 10 mm · 724 g |
| Lengua | Alemán |
| Editor | Carneiro, Gustavo |
| Editor | Lu, Le |
| Editor | Wang, Xiaosong |
| Editor | Yang, Lin |