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FDG-NeuroSegmenter
NM-Rph/FDG-NeuroSegmenter
FDG-NeuroSegmenter is a image segmentation model from NM-Rph. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
<bFDG-NeuroSegmenter</b is a deep-learning-based model developed to perform the automatic segmentation of 52 anatomical regions in brain [<sup18</supF]FDG PET images.
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Updated Sep 15, 2026
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At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Sep 15, 2026
- SHA
- 7f03f911
Model card
From the Hugging Face model README
FDG-NeuroSegmenter
<b>FDG-NeuroSegmenter</b> is a deep-learning-based model developed to perform the automatic segmentation of 52 anatomical regions in brain [<sup>18</sup>F]FDG PET images.
Here you can find the nnU-Net models! For more information and other resources check out the repository on GitHub.
If you use the FDG-NeuroSegmenter models in your research, please cite our paper:
Brain Fluorodeoxyglucose PET Anatomical Segmentation via AI: Extensive Validation in the Neurodegenerative Spectrum
Luísa C. Silva, Francisco P. M. Oliveira and Durval C. Costa for the Alzheimer's Disease Neuroimaging Initiative and for the Frontotemporal Lobar Degeneration Neuroimaging Initiative
Brain (2026)
DOI:10.1093/brain/awag314
- Task
- Image Segmentation
- Library
- pytorch
- License
- mit
- Created
- Jul 13, 2026
- Updated
- Sep 15, 2026