TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches

Lydia Lindner, Birgit Pfarrkirchner, Christina Gsaxner, Dieter Schmalstieg, Jan Egger

Publikation: KonferenzbeitragPaperForschungBegutachtung

Originalspracheenglisch
DOIs
PublikationsstatusVeröffentlicht - 2018
VeranstaltungSPIE Medical Imaging 2018 - Marriott Marquis, Houston, USA / Vereinigte Staaten
Dauer: 10 Feb 201815 Feb 2018

Konferenz

KonferenzSPIE Medical Imaging 2018
LandUSA / Vereinigte Staaten
OrtHouston
Zeitraum10/02/1815/02/18

Kooperationen

  • BioTechMed-Graz

Dies zitieren

TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches. / Lindner, Lydia; Pfarrkirchner, Birgit; Gsaxner, Christina; Schmalstieg, Dieter; Egger, Jan.

2018. Beitrag in SPIE Medical Imaging 2018, Houston, USA / Vereinigte Staaten.

Publikation: KonferenzbeitragPaperForschungBegutachtung

Lindner, Lydia ; Pfarrkirchner, Birgit ; Gsaxner, Christina ; Schmalstieg, Dieter ; Egger, Jan. / TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches. Beitrag in SPIE Medical Imaging 2018, Houston, USA / Vereinigte Staaten.
@conference{c749132a0a54458fb28e6582a1dfd936,
title = "TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches",
author = "Lydia Lindner and Birgit Pfarrkirchner and Christina Gsaxner and Dieter Schmalstieg and Jan Egger",
year = "2018",
doi = "10.13140/RG.2.2.32285.82402",
language = "English",
note = "SPIE Medical Imaging 2018 ; Conference date: 10-02-2018 Through 15-02-2018",

}

TY - CONF

T1 - TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches

AU - Lindner, Lydia

AU - Pfarrkirchner, Birgit

AU - Gsaxner, Christina

AU - Schmalstieg, Dieter

AU - Egger, Jan

PY - 2018

Y1 - 2018

U2 - 10.13140/RG.2.2.32285.82402

DO - 10.13140/RG.2.2.32285.82402

M3 - Paper

ER -