This report summarizes the outcomes of the ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation (MSLesSeg). The competition aimed to develop methods capable of automatically segmenting multiple sclerosis lesions in MRI scans. Participants were provided with a novel annotated dataset comprising a heterogeneous cohort of MS patients, featuring both baseline and follow-up MRI scans acquired at different hospitals. MSLesSeg focuses on developing algorithms that can independently segment multiple sclerosis lesions of an unexamined cohort of patients. This segmentation approach aims to overcome current benchmarks by eliminating user interaction and ensuring robust lesion detection at different timepoints, encouraging innovation and promoting methodological advances.

翻译：本报告总结了ICPR 2024多发性硬化病灶分割竞赛的成果。该竞赛旨在开发能够自动分割磁共振成像扫描中多发性硬化病灶的方法。参赛者获得了一个新颖的标注数据集，该数据集包含一个异质性的多发性硬化患者队列，其中既有基线磁共振成像扫描，也有在不同医院采集的随访扫描。MSLesSeg竞赛专注于开发能够独立分割未经检查的患者队列中多发性硬化病灶的算法。这种分割方法旨在通过消除用户交互、确保在不同时间点进行稳健的病灶检测来超越现有基准，从而鼓励创新并推动方法学进步。