Beyond proof-of-concept: Validating robust automated diffuse lower-grade glioma segmentation for clinical applications in longitudinal follow-up
Our automated nnU-Net segmentation tool demonstrates high accuracy and potential for clinical integration, enhancing DLGG monitoring and management.
Authors
- Margaux Verdier
- Amélie Darlix (ORCID: https://orcid.org/0000-0003-1384-1709)
- Mathilde Carriere
- Liesjet van Dokkum (ORCID: https://orcid.org/0000-0002-3278-7456)
- Jérémy Deverdun (ORCID: https://orcid.org/0000-0002-7083-2940)
- Nicolas Menjot de Champfleur (ORCID: https://orcid.org/0000-0002-4098-5962)
- Hugues Duffau (ORCID: https://orcid.org/0000-0002-6558-2342)
- Guillaume Clain
- Emmanuelle Le Bars
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université de Montpellier (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- Hôpital Gui de Chauliac (FR)
- Institute for Neurosciences of Montpellier (FR)
- Institut de Recherche en Cancérologie de Montpellier (FR)
- Services déconcentrés d'appui à la recherche Occitanie-Montpellier (FR)
- Institut de Génomique Fonctionnelle (FR)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1093/noajnl/vdaf256
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.63