Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
Weber, M; Wild, D; Wallner, J; Egger, J.
A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores.
Annu Int Conf IEEE Eng Med Biol Soc. 2019; 2019(4):3463-3467
Doi: 10.1109/EMBC.2019.8856481
[Oral Communication]
PubMed
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- Führende Autor*innen der Med Uni Graz
- Egger Jan
- Co-Autor*innen der Med Uni Graz
- Wallner Jürgen
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- Abstract:
- Image segmentation plays a major role in medical imaging. Especially in radiology, the detection and development of tumors and other diseases can be supported by image segmentation applications. Tools that provide image segmentation and calculation of segmentation scores are not available at any time for every device due to the size and scope of functionalities they offer. These tools need huge periodic updates and do not properly work on old or weak systems. However, medical use-cases often require fast and accurate results. A complex and slow software can lead to additional stress and thus unnecessary errors. The aim of this contribution is the development of a cross-platform tool for medical segmentation use-cases. The goal is a device-independent and always available possibility for medical imaging including manual segmentation and metric calculation. The result is Studierfenster (studierfenster.at), a web-tool for manual segmentation and segmentation metric calculation. In this contribution, the focus lies on the segmentation metric calculation part of the tool. It provides the functionalities of calculating directed and undirected Hausdorff Distance (HD) and Dice Similarity Coefficient (DSC) scores for two uploaded volumes, filtering for specific values, searching for specific values in the calculated metrics and exporting filtered metric lists in different file formats.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Computers -
- Diagnostic Imaging -
- Image Processing, Computer-Assisted -
- Software -