Software Open Access
Nikulin, Pavel;
Hoberück, Sebastian;
Apostolova, Ivayla;
Maus, Jens;
Hüttmann, Andreas;
Dührsen, Ulrich;
Kroschinsky, Frank;
Kotzerke, Jörg;
von Bonin, Malte;
Bundschuh, Ralph;
Braune, Anja;
Hofheinz, Frank
Collection of neural network models for metabolic tumor volume segmentation in (Non-Hodgkin) lymphoma patients in FDG-PET/CT images. Intended to use within nnU-Net deep learning framework. Trained with a total of 1192 [18F]FDG-PET/CT scans from 716 patients with Non-Hodgkin lymphoma participating in the PETAL trial.
For installation and usage instructions, please visit https://github.com/hzdr-MedImaging/LyROI
Please cite nnU-Net and the respective paper when using LyROI.
| Name | Size | |
|---|---|---|
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LyROI_Orig.zip
md5:af57366f934b5ddee335c7e41890b5e3 |
1.1 GB | Download |
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LyROI_ResL.zip
md5:1bac0c45826c054d691ae7ee309cdb4a |
3.8 GB | Download |
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LyROI_ResM.zip
md5:a726321d41d2e835d781cb438b29edab |
3.8 GB | Download |
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VERSION
md5:3f74232ce9a4216c59b81b3d5aab57af |
23 Bytes | Download |
| All versions | This version | |
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