Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

Description

Front Matter....Pages i-xiii Front Matter....Pages 1-1 Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective....Pages 3-10 Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis....Pages 11-32 Front Matter....Pages 33-33 Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation....Pages 35-48 Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning....Pages 49-61 A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set....Pages 63-72 Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers....Pages 73-95 Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning....Pages 97-111 Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging....Pages 113-136 Cell Detection with Deep Learning Accelerated by Sparse Kernel....Pages 137-157 Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition....Pages 159-179 On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging....Pages 181-193 Front Matter....Pages 195-195 Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference....Pages 197-224 Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms....Pages 225-240 Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context....Pages 241-255 Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders....Pages 257-278 Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling....Pages 279-302 Front Matter....Pages 303-303 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database....Pages 305-321 Back Matter....Pages 323-326