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

✍ Scribed by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang (eds.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 327
Series: Advances in Computer Vision and Pattern Recognition
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

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

✦ Subjects

Image Processing and Computer Vision;Artificial Intelligence (incl. Robotics);Mathematical Models of Cognitive Processes and Neural Networks;Imaging / Radiology

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