{"title":"脊柱内窥镜器械和解剖结构语义分割协议：机器人内窥镜手术还有多远？","authors":"Guoxin Fan, Guanghui Yue, Zhouyang Hu, Zhipeng Xu, Jianjin Zhang, Hong Wang, Xiang Liao","doi":"10.1101/2024.04.14.24305785","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Automatic analysis of endoscopic images will played an important role in the future spine robotic surgery. The study is designed as a translational study to develop AI models of semantic segmentation for spinal endoscopic instruments and anatomic structures. The aim is to provide the visual understanding basis of endoscopic images for future intelligent robotic surgery.","PeriodicalId":501393,"journal":{"name":"medRxiv - Pain Medicine","volume":"96 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Protocol for semantic segmentation of spinal endoscopic instruments and anatomic structures : how far is robotic endoscopy surgery?\",\"authors\":\"Guoxin Fan, Guanghui Yue, Zhouyang Hu, Zhipeng Xu, Jianjin Zhang, Hong Wang, Xiang Liao\",\"doi\":\"10.1101/2024.04.14.24305785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background</strong> Automatic analysis of endoscopic images will played an important role in the future spine robotic surgery. The study is designed as a translational study to develop AI models of semantic segmentation for spinal endoscopic instruments and anatomic structures. The aim is to provide the visual understanding basis of endoscopic images for future intelligent robotic surgery.\",\"PeriodicalId\":501393,\"journal\":{\"name\":\"medRxiv - Pain Medicine\",\"volume\":\"96 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Pain Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.04.14.24305785\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Pain Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.04.14.24305785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Protocol for semantic segmentation of spinal endoscopic instruments and anatomic structures : how far is robotic endoscopy surgery?
Background Automatic analysis of endoscopic images will played an important role in the future spine robotic surgery. The study is designed as a translational study to develop AI models of semantic segmentation for spinal endoscopic instruments and anatomic structures. The aim is to provide the visual understanding basis of endoscopic images for future intelligent robotic surgery.
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