Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up
The in-house deep learning solution is accessible to everyone without expertise in AI and offers effective BM segmentation and substantial time savings.
Authors
- Roger Y. Andres
- Alexandre G. Leclercq (ORCID: https://orcid.org/0009-0004-6862-6613)
- Aurélien Corroyer‐Dulmont (ORCID: https://orcid.org/0000-0002-9826-6565)
- Alexis Lechervy (ORCID: https://orcid.org/0000-0002-9441-0187)
- Alexis Desmonts (ORCID: https://orcid.org/0009-0009-4664-8770)
- Joëlle Lacroix (ORCID: https://orcid.org/0009-0005-7956-7732)
- T. Leleu
- Raphaëlle Lemaire
- Loïse Dessoude
- Dinu Stefan (ORCID: https://orcid.org/0000-0003-4537-2871)
- Loic Le Henaff
- Typhaine Corroller
- Amirath Fara Orou-Guidou
- Luca Laduree
Institutions
- Centre National de la Recherche Scientifique (FR)
- Centre François Baclesse (LU)
- Normandie Université (FR)
- Centre François Baclesse (FR)
- GREYC (FR)
- Imagerie et Stratégies Thérapeutiques pour les Cancers et Tissus cérébraux (FR)
- Université de Caen Normandie (FR)
Publication Details
- Journal
- NeuroImage
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1016/j.neuroimage.2025.121002
- Citations
- 1
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Région Normandie