Attention-enhanced SAM with PBFO tuning: advancing glioma MRI segmentation
The obtained results demonstrate the robustness and reliability of PoSAM-ULTRA in handling the complexity of brain tumor MRI segmentation, highlighting its effectiveness for challenging medical image segmentation tasks.
Authors
- Mohammad Latayfeh
- Mohammad Amin
- Ghada Ahmed Khouqeer (ORCID: https://orcid.org/0000-0001-6229-3687)
- Salem Alhatamleh
- Hamad Yahia Abu Mhanna
- Sitah Alanazi
- Amal Alishwait
- Abdullah Alrefai
- Qutaiba Mohammad
- Kholoud J. Sandougah
Institutions
- Jordan University of Science and Technology (JO)
- Isra University (PK)
- Al Yarmouk University College (IQ)
- Imam Mohammad ibn Saud Islamic University (SA)
- Yarmouk Private University (SY)
- Islamic University (BD)
- Yarmouk University (JO)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-19
- DOI
- https://doi.org/10.3389/fmed.2026.1730353
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Al-Imam Muhammad Ibn Saud Islamic University