Cloud-Based Benchmarking of Medical Image Analysis

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hanbury, Allan (Επιμελητής έκδοσης), Müller, Henning (Επιμελητής έκδοσης), Langs, Georg (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Θέματα: Computer science.; Health informatics.; Computer system failures.; Image processing.; Computer Science.; Health Informatics.; Image Processing and Computer Vision.; System Performance and Evaluation.

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...

Πίνακας περιεχομένων:

• 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.