Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 1st ed. 2019 Disease Detection, Organ Segmentation, and Database Construction and Mining Advances in Computer Vision and Pattern Recognition Series

Clinical Report Guided Multi-Sieving Deep Learning for Retinal Microaneurysm Detection
Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu and Weiping Jia

Optic Disc and Cup Segmentation Based on Multi-label Deep Network for Fundus Glaucoma Screening
Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, and Jiang Liu

Thoracic Disease Identification and Localization with Limited Supervision
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, and Fei-Fei Li

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
X Wang, Y Peng, L Lu, Z Lu, M Bagheri, and RM Summers

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
Ke Yan, Xiaosong Wang,; Le Lu,  Ling Zhang,  Adam Harrison,  HADI Bagheri,  and Ronald Summers

Deep Reinforcement Learning based Attention to Detect Breast Lesions from DCE-MRI
Gabriel Maicas, Andrew Bradley, Jacinto Nascimento, Ian Reid, and Gustavo Carneiro

Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images
M. Sapkota, X. Shi, F. Xing, and L. Yang

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation
Y. Xie, Z. Zhang, M. Sapkota, and L. Yang

Pancreas
Alan Yuille

Multi-Organ
Alan Yuille

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction
Ling Zhang, Le Lu, Ronald Summers, Electron Kebebew, and Jianhua Yao

Cross-Modality Synthesis in Magnetic Resonance Imaging
Yawen Huang, Ling Shao,  and Alejandro F. Frangi

Image Quality Assessment for Population Cardiac MRI
Le Zhang, Marco Pereañez,    and Alejandro F. Frangi

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K Kalra, Yi Zhang, Ling Sun, and Ge Wang

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, and Pheng-Ann Heng

Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Dong Yang, Tao Xiong, and Daguang Xu

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
Siqi Liu and Daguang Xu

Multi-Agent Learning for Robust Image Registration
Shun Miao, Rui Liao, and Tommaso Mansi

Deep Learning in Magnetic Resonance Imaging of Cardiac Function
Dong Yang and Drimitri Metaxas

Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Dong Yang, Tao Xiong, and Daguang Xu

Deep Learning on Functional Connectivity of Brain: Are We There Yet?
Harish Ravi Prakash, Arjun Watane, Sachin Jambawalikar, and Ulas Bagci

Dr. Le Lu is the Director of Ping An Technology US Research Labs, and an adjunct faculty member at Johns Hopkins University, USA.

Dr. Xiaosong Wang is a Senior Applied Research Scientist at Nvidia Corp., USA.

Dr. Gustavo Carneiro is an Associate Professor at the University of Adelaide, Australia.

Dr. Lin Yang is an Associate Professor at the University of Florida, USA.

Reviews the state of the art in deep learning approaches to robust disease detection, organ segmentation in medical image computing, and the construction and mining of large-scale radiology databases

Particularly focuses on the application of convolutional neural networks, supporting the theory with numerous practical examples

Highlights how deep neural networks can be used to address new questions and protocols, and provide novel solutions