Deep Learning and Convolutional Neural Networks for Medical Image Computing

Chapter 1 Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective

Chapter 2 Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

Chapter 3 Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation

Chapter 4 Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning

Chapter 5 A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set

Chapter 6 Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers

Chapter 7 Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning

Chapter 9 Cell Detection with Deep Learning Accelerated by Sparse Kernel

Chapter 10 Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition

Chapter 11 On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging

Chapter 12 Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference

Chapter 13 Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms

Chapter 14 Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context

Chapter 15 Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders

Chapter 16 Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling

Chapter 17 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database