输入关键词或点击标签，按论文、数据资源、竞赛截止日期、征稿与课程缩小范围。 标签：multicenter
The eICU Collaborative Research Database is a multicenter critical care database containing deidentified ICU data from many hospitals. It is commonly used for external validation, ICU outcome prediction, temporal modeling, and cross-site generalization studies in clinical AI.
Grand Challenge official API lists this medical AI challenge with status OPEN. BEETLE is a multicenter, multiscanner benchmark for breast cancer histopathology segmentation. It focuses on multiclass semantic segmentation of hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) into four tissue categories: invasive epithelium, non-invasive epithelium, necrosis, and other. The evaluation set comprises 170 densely annotated regions from 54 WSIs, covering all molecular subtypes and histological grades, thereby capturing much of the morphological heterogeneity seen in clinical practice. BEETLE provides a standardized resource for benchmarking breast cancer segmentation models, supporting the development of robust, generalizable algorithms for large-scale biomarke...