2026-10-13T20:03:11Z https://www.scidb.cn/oai

10.57760/sciencedb.28291 2026-08-12T09:38:41Z

2026-08-12 A Multi-Source Pixel-Level Annotated Dataset for Hemorrhage Recognition in Laparoscopic Cholecystectomy doi:10.57760/sciencedb.28291 en The Laparoscopic Cholecystectomy Hemorrhage Segmentation Dataset (LC-HemSeg) 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). Computer-assisted surgery; intraoperative hemorrhage segmentation; laparoscopic cholecystectomy; multi-center dataset; semantic segmentation; surgical video analysis Zhuojin Song Nadila Erxiding Lun Wang Yingxue Song Xianqing Zheng Zhixiang Chen Junfeng Wang Xinci Li Xiaojun Zeng Wenjun Lin Yao Xiao Jian Yang Haisu Tao PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank