Pastāsti draugiem par šo preci:
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 1. oktobris |
| ISBN13 | 9783030139711 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 461 |
| Izmēri | 150 × 220 × 10 mm · 724 g |
| Valoda | Vācu |
| Redaktors | Carneiro, Gustavo |
| Redaktors | Lu, Le |
| Redaktors | Wang, Xiaosong |
| Redaktors | Yang, Lin |