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

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

Research output: Contribution to conferencePaper

Conference

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

Cooperations

  • BioTechMed-Graz

Cite this

Lindner, L-A., 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.DOI: 10.13140/RG.2.2.32285.82402

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

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

Research output: Contribution to conferencePaper

Lindner, L-A, 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-A, 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
Lindner, Lydia-Alice ; Pfarrkirchner, Birgit ; Gsaxner, Christina ; Schmalstieg, Dieter ; Egger, Jan. / TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches. Paper presented at SPIE Medical Imaging 2018, Houston, United States.
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AU - Lindner,Lydia-Alice

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AU - Schmalstieg,Dieter

AU - Egger,Jan

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