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Advances in Deep Learning for Medical Image Analysis
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Advances in Deep Learning for Medical Image Analysis
This reference text covers deep learning methods for detection of various diseases and analysis of medical images for better understanding. It will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
168 pages, 50 Line drawings, black and white; 29 Tables, black and white; 50 Illustrations, black an
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 6 de mayo de 2022 |
| ISBN13 | 9781032137162 |
| Editores | Taylor & Francis Ltd |
| Páginas | 154 |
| Dimensiones | 159 × 241 × 16 mm · 392 g |
| Editor | Elangovan, Vinayak (Penn State University, USA) |
| Editor | Mire, Archana (Terna Engineering College, India) |
| Editor | Patil, Shailaja (Rajarshi Shahu College of Engineering, India) |
