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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.
154 pages, 29 Tables, black and white; 50 Line drawings, black and white; 50 Illustrations, black an
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 8, 2024 |
| ISBN13 | 9781032137193 |
| Publishers | Taylor & Francis Ltd |
| Pages | 154 |
| Dimensions | 150 × 220 × 10 mm · 260 g |
| Language | English |
| Editor | Elangovan, Vinayak (Penn State University, USA) |
| Editor | Mire, Archana (Terna Engineering College, India) |
| Editor | Patil, Shailaja (Rajarshi Shahu College of Engineering, India) |
