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Real-time multicenter semantic segmentation for laparoscopic gastrectomy: development, external validation and operating room deployment of an AI navigation system
Real-time multicenter semantic segmentation for laparoscopic gastrectomy: development, external validation and operating room deployment of an AI navigation system
Real-time multicenter semantic segmentation for laparoscopic gastrectomy: development, external validation and operating room deployment of an AI navigation system
- “一个多中心团队使用YOLOv10开发了一种用于腹腔镜胃切除术的实时人工智能导航系统,该系统可识别18种手术器械和器官。该系统实现了跨医院的稳健检测,在认知负担低的标准笔记本电脑GPU上运行,并在不中断手术工作流程的情况下提供按需视觉叠加,为构建智能手术辅助系统奠定了基础。”
- 军事医学研究(英文) 2026年
DOI: 10.1016/j.mmr.2026.100040
录用:2026-05-13
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相关作者
Yun-Bo He
Jiao Hu
Zhi Liu
Zi-Cheng Xiao
Jin-Hui Liu
Hai-Su Liang
Wen-Zhi Deng
Zhi-Wei Li
相关机构
Department of Urology, Xiangya Hospital, Central South University
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University
Department of Urology, the Second Affiliated Hospital, Guizhou Medical University
Department of Pathology, the Third Xiangya Hospital of Central South University
Department of Urology, the Second Hospital of University of South China

