| Description |
1 online resource. |
|
text rdacontent |
|
computer rdamedia |
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online resource rdacarrier |
| Series |
The MICCAI Society book series
|
| Summary |
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. |
| Subject |
Diagnostic imaging.
|
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Medical informatics.
|
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Computer networks -- Design.
|
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Diagnostic Imaging |
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Imagerie pour le diagnostic.
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Médecine -- Informatique.
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Computer networks -- Design
|
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Diagnostic imaging
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Medical informatics
|
| Other Form: |
Print version: 9780128244036 |
|
Print version: 012824383X 9780128243831 (OCoLC)1296534033 |
| ISBN |
9780128244036 (electronic bk.) |
|
0128244038 (electronic bk.) |
|
9780128243831 (electronic bk.) |
|
012824383X (electronic bk.) |
| Standard No. |
UKMGB 020678135 |
|
AU@ 000073348925 |
|
