Cloud-Based Benchmarking of Medical Image Analysis [E-Book] / edited by Allan Hanbury, Henning Müller, Georg Langs.
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 infr...
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Full text |
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Personal Name(s): | Hanbury, Allan, editor |
Langs, Georg, editor / Müller, Henning, editor | |
Imprint: |
Cham :
Springer International Publishing,
2017
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Physical Description: |
XVIII, 254 p. 93 illus., 39 illus. in color. online resource. |
Note: |
englisch |
ISBN: |
9783319496443 |
DOI: |
10.1007/978-3-319-49644-3 |
Subject (LOC): |
- VISCERAL: Evaluation-as-a-Service for Medical Imaging
- Using the Cloud as a Platform for Evaluation and Data Preparation
- Ethical and Privacy Aspects of Using Medical Image Data
- Annotating Medical Image Data
- Datasets created in VISCERAL
- Evaluation Metrics for Medical Organ Segmentation and Lesion Detection
- VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localisation: Tasks and Results
- Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark
- Automatic Atlas-Free Multi-Organ Segmentation of Contrast-Enhanced CT Scans
- Multi-organ Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information
- Automatic Multi-organ Segmentation using Hierarchically-Registered Probabilistic Atlases
- Multi-Atlas Segmentation Using Robust Feature-Based Registration
- Combining Radiology Images and Clinical Meta-data for Multimodal Medical Case-based Retrieval
- Text and Content-based Medical Image Retrieval in the VISCERAL Retrieval Benchmark.