Hemorrhage Recognition in Minimally Invasive Surgery: A Multi-Source Pixel-Level Annotated Dataset
收藏科学数据银行2025-09-28 更新2026-04-23 收录
下载链接：
https://www.scidb.cn/detail?dataSetId=92e1dc5918e44afa8f4eedc5436f99ec
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资源简介：
The Laparoscopic Cholecystectomy Hemorrhage Segmentation Dataset (LC-HemSeg-30) contains 21,396 expertly validated frames, capturing both common and rare bleeding events in diverse surgical settings. The dataset uniquely highlights the dynamic evolution of hemorrhagic patterns throughout critical operative phases, providing a high-fidelity foundation for algorithm development, workflow analysis, and real-time surgical risk prediction. (This dataset is also referred to as the Southern Medical University - Zhujiang Hospital - Cholecystectomy Hemorrhage - 01 Dataset, SMU-ZJ-LC-Hem-01).
提供机构：
Xinci Li; Zhuojin Song; Junfeng Wang; Zhujiang Hospital; Xiaojun Zeng; Wenjun Lin; Xianqing Zheng; Yingxue Song; Zhixiang Chen; Haisu Tao; Nadila Erxiding
创建时间：
2025-07-22
