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Deep Learning and Convolutional Neural Networks for Medical Image Computing

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Cover of 'Deep Learning and Convolutional Neural Networks for Medical Image Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective
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    Chapter 2 Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis
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    Chapter 3 Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
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    Chapter 4 Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning
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    Chapter 5 A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set
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    Chapter 6 Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers
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    Chapter 7 Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning
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    Chapter 8 Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging
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    Chapter 9 Cell Detection with Deep Learning Accelerated by Sparse Kernel
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    Chapter 10 Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition
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    Chapter 11 On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging
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    Chapter 12 Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference
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    Chapter 13 Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms
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    Chapter 14 Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context
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    Chapter 15 Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders
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    Chapter 16 Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling
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    Chapter 17 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database
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