Cloud-Based Benchmarking of Medical Image Analysis

✍ Scribed by Allan Hanbury, Henning Müller, Georg Langs (eds.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 256
• Edition: 1
• Category: Library

✦ Synopsis

This book is open access under a CC BY-NC 2.5 license.

This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (CT and MRI) on a large scale, which used an innovative cloud-based evaluation approach where the image data were stored centrally on a cloud infrastructure and participants placed their programs in virtual machines on the cloud. The book presents the points of view of both the organizers of the VISCERAL benchmarks and the participants.

The book is divided into five parts. Part I presents the cloud-based benchmarking and Evaluation-as-a-Service paradigm that the VISCERAL benchmarks used. Part II focuses on the datasets of medical images annotated with ground truth created in VISCERAL that continue to be available for research. It also covers the practical aspects of obtaining permission to use medical data and manually annotating 3D medical images efficiently and effectively. The VISCERAL benchmarks are described in Part III, including a presentation and analysis of metrics used in evaluation of medical image analysis and search. Lastly, Parts IV and V present reports by some of the participants in the VISCERAL benchmarks, with Part IV devoted to the anatomy benchmarks and Part V to the retrieval benchmark.


This book has two main audiences: the datasets as well as the segmentation and retrieval results are of most interest to medical imaging researchers, while eScience and computational science experts benefit from the insights into using the Evaluation-as-a-Service paradigm for evaluation and benchmarking on huge amounts of data.

✦ Table of Contents

Front Matter....Pages i-xviii
Front Matter....Pages 1-1
VISCERAL: Evaluation-as-a-Service for Medical Imaging....Pages 3-13
Using the Cloud as a Platform for Evaluation and Data Preparation....Pages 15-30
Front Matter....Pages 31-31
Ethical and Privacy Aspects of Using Medical Image Data....Pages 33-43
Annotating Medical Image Data....Pages 45-67
Datasets Created in VISCERAL....Pages 69-84
Front Matter....Pages 85-85
Evaluation Metrics for Medical Organ Segmentation and Lesion Detection....Pages 87-105
VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localization: Tasks and Results....Pages 107-125
Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark....Pages 127-141
Front Matter....Pages 143-143
Automatic Atlas-Free Multiorgan Segmentation of Contrast-Enhanced CT Scans....Pages 145-164
Multiorgan Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information....Pages 165-183
Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases....Pages 185-201
Multiatlas Segmentation Using Robust Feature-Based Registration....Pages 203-218
Front Matter....Pages 219-219
Combining Radiology Images and Clinical Metadata for Multimodal Medical Case-Based Retrieval....Pages 221-236
Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark....Pages 237-249
Back Matter....Pages 251-254

✦ Subjects

Health Informatics;Health Informatics;Image Processing and Computer Vision;System Performance and Evaluation