MSLesSeg: baseline and benchmarking of a new Multiple Sclerosis Lesion Segmentation dataset

MSLesSeg is a publicly accessible MRI dataset aimed at advancing research in Multiple Sclerosis (MS) lesion segmentation. It includes 115 MRI scans from 75 patients, featuring T1, T2, and FLAIR sequences. The dataset is enriched with supplementary clinical data gathered from multiple sources. Expert-validated annotations provide high-quality lesion segmentation labels, offering a reliable, human-labeled benchmark for evaluating segmentation algorithms.

MSLesSeg是一款旨在推进多发性硬化（Multiple Sclerosis，MS）病灶分割研究的公开磁共振成像（MRI）数据集。该数据集包含75名患者的115次MRI扫描，涵盖T1、T2及液体衰减反转恢复（FLAIR）序列。数据集补充了多源采集的临床附属数据。经专家验证的标注提供了高质量的病灶分割标签，可为分割算法的评估提供可靠的人工标注基准。