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Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
Part I: Introduction
1. An Introduction to Neural Networks and Deep Learning
2. An Introduction to Deep Convolutional Neural Nets for Computer Vision
Part II: Medical Image Detection and Recognition
3. Efficient Medical Image Parsing
4. Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition
5. Automatic Interpretation of Carotid Intima–Media Thickness Videos Using Convolutional Neural Networks
6. Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
7. Deep Voting and Structured Regression for Microscopy Image Analysis
Part III: Medical Image Segmentation
8. Deep Learning Tissue Segmentation in Cardiac Histopathology Images
9. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
10. Characterization of Errors in Deep Learning-Based Brain MRI Segmentation
Part IV: Medical Image Registration
11. Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
12. Convolutional Neural Networks for Robust and Real-Time 2-D/3-D Registration
Part V: Computer-Aided Diagnosis and Disease Quantification
13. Chest Radiograph Pathology Categorization via Transfer Learning
14. Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions
15. Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease
Part VI: Others
16. Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis
17. Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning
SZ
HG
DS
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.