A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores

Maximilian Weber, Daniel Wild, Jürgen Wallner, Jan Egger

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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 …
Originalspracheenglisch
Titel2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Seiten3463-3467
Seitenumfang5
ISBN (elektronisch)978-1-5386-1311-5
DOIs
PublikationsstatusVeröffentlicht - 2019
Veranstaltung41st Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: EMBC 2019 - CityCube, Berlin, Deutschland
Dauer: 23 Juli 201927 Juli 2019
Konferenznummer: 41
https://embc.embs.org/2019/

Konferenz

Konferenz41st Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
KurztitelIEEE EMBC 2019
Land/GebietDeutschland
OrtBerlin
Zeitraum23/07/1927/07/19
Internetadresse

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