Cloud-Based Benchmarking of Medical Image Analysis /
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 1st ed. 2017. |
| Materias: |
Tabla de Contenidos:
- 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.