Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Kartoniert / Broschiert

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Chapter 1. Clinical Report Guided Multi-Sieving Deep Learning for Retinal Microaneurysm Detection.- Chapter 2. Optic Disc and Cup Segmentation Based on Multi-label Deep Network for Fundus Glaucoma Screening.- Chapter 3. Thoracic Disease Identification and Localization with Limited Supervision.- Chapter 4. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.- Chapter 5. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays.- Chapter 6. Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database.- Chapter 7. Deep Reinforcement Learning based Attention to Detect Breast Lesions from DCE-MRI.- Chapter 8. Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images.- Chapter 9. Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.- Chapter 10. Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.- Chapter 11. Pancreas.- Chapter 12. Multi-Organ.- Chapter 13. Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.- Chapter 14. Cross-Modality Synthesis in Magnetic Resonance Imaging.- Chapter 15. Image Quality Assessment for Population Cardiac MRI.- Chapter 16. Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss.- Chapter 17. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.- Chapter 18. Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.- Chapter 19. 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.- Chapter 20. Multi-Agent Learning for Robust Image Registration.- Chapter 21. Deep Learning in Magnetic Resonance Imaging of Cardiac Function.- Chapter 22. Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.- Chapter 23. Deep Learning on Functional Connectivity of Brain: Are We There Yet?.