MOIS-SAM2: Exemplar-based segment anything model 2 for multi-lesion interactive segmentation of neurofibromas in whole-body MRI
The proposed MOIS-SAM2 enables efficient and scalable interactive segmentation of NFs in WB-MRI with minimal user input and strong generalization, supporting integration into clinical workflows. The model and code are publicly available on GitHub.
Authors
- René Werner (ORCID: https://orcid.org/0000-0002-2296-3305)
- Lennart Well (ORCID: https://orcid.org/0000-0003-2491-1346)
- Said Farschtschi (ORCID: https://orcid.org/0000-0002-3596-5932)
- Marie‐Lena Schmalhofer (ORCID: https://orcid.org/0000-0003-4991-8544)
- Stefan M. Goetz (ORCID: https://orcid.org/0000-0002-1944-0714)
- Inka Ristow (ORCID: https://orcid.org/0000-0002-3032-2321)
- Victor-Felix Mautner
- Georgii Kolokolnikov
Institutions
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-12-27
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.111422
- Primary Topic
- Neurofibromatosis and Schwannoma Cases
- Type
- article
- Field-Weighted Citation Impact
- 0.00