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

Research output: Contribution to conferencePaperResearchpeer-review

Conference

ConferenceSPIE Medical Imaging 2018
CountryUnited States
CityHouston
Period10/02/1815/02/18

Cooperations

  • BioTechMed-Graz

Cite this

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. Paper presented at SPIE Medical Imaging 2018, Houston, United States.

Research output: Contribution to conferencePaperResearchpeer-review

Lindner, L, Pfarrkirchner, B, Gsaxner, C, Schmalstieg, D & Egger, J 2018, 'TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches' Paper presented at SPIE Medical Imaging 2018, Houston, United States, 10/02/18 - 15/02/18, . DOI: 10.13140/RG.2.2.32285.82402
Lindner L, Pfarrkirchner B, Gsaxner C, Schmalstieg D, Egger J. TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches. 2018. Paper presented at SPIE Medical Imaging 2018, Houston, United States. Available from, DOI: 10.13140/RG.2.2.32285.82402
@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 -