Deep Learning for Medical Image Analysis, Second Edition is a great
learning resource for academic and industry researchers and
graduate students taking courses on machine learning and deep
learning for computer vision and medical image computing and
analysis. Deep learning provides exciting solutions for medical
image analysis problems and is a key method for future
applications. This book gives a clear understanding of the
principles and methods of neural network and deep learning
concepts, showing how the algorithms that integrate deep learning
as a core component are applied to medical image detection,
segmentation, registration, and computer-aided analysis.
General
Imprint: |
Academic Press Inc
|
Country of origin: |
United Kingdom |
Series: |
The MICCAI Society book Series |
Release date: |
November 2023 |
First published: |
2024 |
Editors: |
S. Kevin Zhou
• Hayit Greenspan
• Dinggang Shen
|
Dimensions: |
235 x 191mm (L x W) |
Format: |
Paperback
|
Pages: |
600 |
Edition: |
2nd edition |
ISBN-13: |
978-0-323-85124-4 |
Categories: |
Books
|
LSN: |
0-323-85124-X |
Barcode: |
9780323851244 |
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