MS3SEG Dataset

MS3SEG: Multiple sclerosis MRI segmentation dataset with tri-mask annotations distinguishing ventricles, normal white matter hyperintensities, and MS lesions. Features 100 patients, Toshiba scanner data, complete preprocessing pipeline, and baseline deep learning models. Enables cross-vendor generalizability research. Open dataset for AI research.

MS3SEG：一款针对多发性硬化（Multiple sclerosis）的磁共振成像（Magnetic Resonance Imaging）分割数据集，其通过三掩码标注区分脑室、正常脑白质高信号与多发性硬化病灶。该数据集涵盖100例患者的东芝扫描仪采集数据，配套完整的预处理流程与基线深度学习模型，可支持跨厂商泛化性研究，是面向人工智能研究的开放数据集。