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 KonferenzbandForschungBegutachtung

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 International Engineering in Medicine and Biology Conference 2019 - Berlin, Deutschland
Dauer: 23 Jul 201927 Jul 2019
Konferenznummer: 41
https://embc.embs.org/2019/

Konferenz

Konferenz41st International Engineering in Medicine and Biology Conference 2019
KurztitelIEEE EMBC 2019
LandDeutschland
OrtBerlin
Zeitraum23/07/1927/07/19
Internetadresse

Fingerprint

Image segmentation
Servers
Medical imaging
Radiology
Tumors

Dies zitieren

Weber, M., Wild, D., Wallner, J., & Egger, J. (2019). A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (S. 3463-3467) https://doi.org/10.1109/EMBC.2019.8856481

A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. / Weber, Maximilian; Wild, Daniel; Wallner, Jürgen; Egger, Jan.

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2019. S. 3463-3467.

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

Weber, M, Wild, D, Wallner, J & Egger, J 2019, A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). S. 3463-3467, Berlin, Deutschland, 23/07/19. https://doi.org/10.1109/EMBC.2019.8856481
Weber M, Wild D, Wallner J, Egger J. A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2019. S. 3463-3467 https://doi.org/10.1109/EMBC.2019.8856481
Weber, Maximilian ; Wild, Daniel ; Wallner, Jürgen ; Egger, Jan. / A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2019. S. 3463-3467
@inproceedings{5862db520e214a41a65b2a4815c21d1d,
title = "A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores",
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 …",
author = "Maximilian Weber and Daniel Wild and J{\"u}rgen Wallner and Jan Egger",
year = "2019",
doi = "10.1109/EMBC.2019.8856481",
language = "English",
pages = "3463--3467",
booktitle = "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

}

TY - GEN

T1 - A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores

AU - Weber, Maximilian

AU - Wild, Daniel

AU - Wallner, Jürgen

AU - Egger, Jan

PY - 2019

Y1 - 2019

N2 - 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 …

AB - 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 …

U2 - 10.1109/EMBC.2019.8856481

DO - 10.1109/EMBC.2019.8856481

M3 - Conference contribution

SP - 3463

EP - 3467

BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

ER -