Cloud-Based Benchmarking of Medical Image Analysis

Chapter 1 VISCERAL: Evaluation-as-a-Service for Medical Imaging

Chapter 2 Using the Cloud as a Platform for Evaluation and Data Preparation

Chapter 3 Ethical and Privacy Aspects of Using Medical Image Data

Chapter 4 Annotating Medical Image Data

Chapter 5 Datasets Created in VISCERAL

Chapter 6 Evaluation Metrics for Medical Organ Segmentation and Lesion Detection

Chapter 7 VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localization: Tasks and Results

Chapter 8 Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark

Chapter 9 Automatic Atlas-Free Multiorgan Segmentation of Contrast-Enhanced CT Scans

Chapter 10 Multiorgan Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information

Chapter 11 Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases

Chapter 12 Multiatlas Segmentation Using Robust Feature-Based Registration

Chapter 13 Combining Radiology Images and Clinical Metadata for Multimodal Medical Case-Based Retrieval

Chapter 14 Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark