
Deep Learning for Medical Image Analysis
- 2nd Edition - November 23, 2023
- Imprint: Academic Press
- Editors: S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 5 1 2 4 - 4
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 5 8 8 8 - 5
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 learni… Read more

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Request a sales quote- Covers common research problems in medical image analysis and their challenges
- Describes the latest deep learning methods and the theories behind approaches for medical image analysis
- Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment· Includes a Foreword written by Nicholas Ayache
2. Deep reinforcement learning in medical imaging
3. CapsNet for medical image segmentation
4.Transformer for Medical Image Analysis
5. An overview of disentangled representation learning for MR images
6. Hypergraph Learning and Its Applications for Medical Image Analysis
7. Unsupervised Domain Adaptation for Medical Image Analysis
8. Medical image synthesis and reconstruction using generative adversarial networks
9. Deep Learning for Medical Image Reconstruction
10. Dynamic inference using neural architecture search in medical image segmentation
11. Multi-modality cardiac image analysis with deep learning
12. Deep Learning-based Medical Image Registration
13. Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI
14. Deep Learning in Functional Brain Mapping and associated applications
15. Detecting, Localising, and Classifying Polyps from Colonoscopy Videos Using Deep Learning
16. OCTA Segmentation with limited training data using disentangled represenatation learning
17. Considerations in the Assessment of Machine Learning Algorithm Performance for Medical Imaging
- Edition: 2
- Published: November 23, 2023
- No. of pages (Paperback): 518
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323851244
- eBook ISBN: 9780323858885
SZ
S. Kevin Zhou
HG
Hayit Greenspan
DS
Dinggang Shen
Dinggang Shen, PhD is a Professor and a Founding Dean with School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, and also a Co-CEO of United Imaging Intelligence (UII), Shanghai. He is a Fellow of IEEE, AIMBE, IAPR and MICCAI. He was a Jeffrey Houpt Distinguished Investigator and a Full Professor (Tenured) with the University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, NC, USA. His research interests include medical image analysis, computer vision and pattern recognition. He has published more than 1,500 peer-reviewed papers in the international journals and conference proceedings, with H-index 130 and over 70K citations.