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 delineation 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.
List of models:
LyROI_Orig.zip: regular U-NetLyROI_ResM.zip: residual encoder U-Net (medium)LyROI_ResL.zip: residual encoder U-Net (large)LyROI_PET_Orig.zip: regular U-NetLyROI_PET_ResM.zip: residual encoder U-Net (medium)LyROI_PET_ResL.zip: residual encoder U-Net (large)| Name | Size | |
|---|---|---|
|
LyROI_Orig.zip
md5:af57366f934b5ddee335c7e41890b5e3 |
1.1 GB | Download |
|
LyROI_PET_Orig.zip
md5:754aa5f86a99ea29b9c34f85c2b03b79 |
1.1 GB | Download |
|
LyROI_PET_ResL.zip
md5:d89508d78f3eaf5a39a3b257148dd980 |
3.8 GB | Download |
|
LyROI_PET_ResM.zip
md5:d3cd64eab7258ab8ddc6d3347a14d6f0 |
3.8 GB | Download |
|
LyROI_ResL.zip
md5:1bac0c45826c054d691ae7ee309cdb4a |
3.8 GB | Download |
|
LyROI_ResM.zip
md5:a726321d41d2e835d781cb438b29edab |
3.8 GB | Download |
|
VERSION
md5:7a83b581ea8c9d3b17e28b6aec9c0bf5 |
42 Bytes | Download |
| All versions | This version | |
|---|---|---|
| Views | 548 | 69 |
| Downloads | 1,026 | 191 |
| Data volume | 2.2 TB | 523.6 GB |
| Unique views | 319 | 59 |
| Unique downloads | 472 | 138 |