RH-GlioSeg is an advanced automatic segmentation model based on deep learning, specifically designed for pre- and post-operative glioblastoma studies. The model has been rigorously trained on the nnUNet framework using 586 scans, achieving superior performance compared to other currently available models.
This innovative tool provides clinicians and researchers with a powerful resource for precise and efficient glioblastoma imaging analysis, setting a new standard in medical imaging technology.
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License
Creative Commons Attribution-NonCommercial License: This repository is licensed under the Creative Commons Attribution-NonCommercial (CC BY-NC) license. This license allows others to freely use, modify, and distribute the software for non-commercial purposes only. You are granted the right to use this software for personal, educational, and non-profit projects, but commercial use is not permitted without explicit permission. For more details, please refer to the LICENSE file.