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Deep Learning for Medical Image Analysis, 1ed

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Contents

۱ An Introduction to Neural Networks and Deep Learning
۲ An Introduction to Deep Convolutional Neural Nets for Computer Vision
۳ Efficient Medical Image Parsing
۴ Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition
۵ Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks
۶ Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
۷ Deep Voting and Structured Regression for Microscopy Image Analysis
۸ Deep Learning Tissue Segmentation in Cardiac Histopathology Images
۹ Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
۱۰ Characterization of Errors in Deep Learning-Based Brain MRI Segmentation
۱۱ Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
۱۲ Convolutional Neural Networks for Robust and Real-Time 2-D/3-D Registration
۱۳ Chest Radiograph Pathology Categorization via Transfer Learning
۱۴ Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions
۱۵ Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer’s Disease
۱۶ Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis
۱۷ Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning