📢 New Dataset Release!
New Dataset Release!The MSLesSeg dataset for Multiple Sclerosis Lesion Segmentation is now publicly available — and we’re thrilled to announce its official publication in Nature Scientific Data!
MSLesSeg marks a milestone in MS research: it is the largest expert-annotated dataset for MS lesion segmentation currently available at the state of the art.
The dataset includes multimodal MRI scans acquired from patients with MS, enriched with expert-validated lesion masks, comprehensive clinical data, and benchmark comparisons against cutting-edge segmentation algorithms.
What can you use MSLesSeg for?
Developing AI-based segmentation algorithms
Advancing clinical and translational neuroimaging research
Evaluating and comparing automated methods in realistic scenarios
A portion of MSLesSeg was successfully used in the ICPR 2024 MSLesSeg Challenge, which gathered strong international participation and confirmed the dataset’s value for benchmarking AI approaches in medical imaging.
Read the full article: https://www.nature.com/articles/s41597-025-05250-y
Download the dataset: https://doi.org/10.6084/m9.figshare.27919209
Explore more from our research: https://iplab.dmi.unict.it/medicalimaging/A huge thank you to all co-authors for their outstanding contributions! 
Francesco Guarnera
Elena Crispino
Giulia Russo
Clara Di Lorenzo
Davide Maimone
Francesco Pappalardo