A Multiple Sclerosis MRI Dataset with Tri-Mask Annotations for Lesion Segmentation
Mahdi Bashiri Bawil, Mousa Shamsi, Aydin Ghalehasadi, Ali Fahmi Jafargholkhanloo, Abolhassan Shakeri Bavil · 2026
Read A Multiple Sclerosis MRI Dataset with Tri-Mask Annotations for Lesion Segmentation by Mahdi Bashiri Bawil, Mousa Shamsi, Aydin Ghalehasadi, Ali Fahmi Jafargholkhanloo, Abolhassan Shakeri Bavil (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13249843.txt.
Description
Multiple sclerosis (MS) lesion segmentation from MRI is essential for diagnosis, monitoring, and treatment evaluation, yet existing datasets exhibit limited geographic diversity, scanner vendor bias, and inability to distinguish normal from pathological white matter hyperintensities. We present MS3SEG, a publicly available dataset comprising 100 MS patients from an Iranian cohort acquired on a 1.
Catalog record
| CREATOR | Mahdi Bashiri Bawil, Mousa Shamsi, Aydin Ghalehasadi, Ali Fahmi Jafargholkhanloo, Abolhassan Shakeri Bavil |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 67 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |