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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images
verfasst von : Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus Maier-Hein, Marco Nolden
Erschienen in: Bildverarbeitung für die Medizin 2019
Verlag: Springer Fachmedien Wiesbaden
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Within a clinical image analysis workflow with large data sets of patient images, the assessment, and review of automatically generated segmentation results by medical experts are time constrained. We present a software system able to inspect such quantitative results in a fast and intuitive way, potentially improving the daily repetitive review work of a research radiologist. Combining established standards with modern technologies creates a flexible environment to efficiently evaluate multiple segmentation algorithm outputs based on different metrics and visualizations and report these analysis results back to a clinical system environment. First experiments show that the time to review automatic segmentation results can be decreased by roughly 50% while the determination of the radiologist is enhanced.