Publication | Closed Access
VISCERAL | VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization
20
Citations
6
References
2014
Year
Unknown Venue
EngineeringMachine LearningVisceral Data SetImage DatabaseDiagnostic ImagingImage ClassificationImage AnalysisData SciencePattern RecognitionMedical Image DataChallenge OrganizationRadiologyHealth SciencesMachine VisionRadiological SciencesMedical ImagingIsbi 2014Visual DiagnosisComputer ScienceRadiologic ImagingDeep LearningMedical Image ComputingComputer VisionRadiomicsBiomedical ImagingComputer-aided DiagnosisMedical Image Analysis
The VISual Concept Extraction challenge in RAdioLogy (VISCERAL) project has been developed as a cloud{based infrastructure for the evaluation of medical image data in large data sets. As part of this project, the ISBI 2014 (International Symposium for Biomedical Imaging) challenge was organized using the VISCERAL data set and shared cloud{ framework. Two tasks were selected to exploit and compare multiple state{of{the{art solutions designed for big data medical image analysis. Segmentation and landmark localization results from the submitted algorithms were compared to manually annotated ground truth in the VISCERAL data set. This paper presents an overview of the challenge setup and data set used as well as the evaluation metrics from the various results submitted to the challenge. The participants presented their algorithms during an organized session at ISBI 2014. There were lively discussions in which the importance of comparing approaches on tasks sharing a common data set was highlighted.
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