Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study.
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| Title: | Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study. |
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| Authors: | Cao J; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China., Yip HC; Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China. hcyip@surgery.cuhk.edu.hk., Chen Y; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China., Scheppach M; Internal Medicine III-Gastroenterology, University Hospital of Augsburg, Augsburg, Germany., Luo X; Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China., Yang H; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China., Cheng MK; Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China., Long Y; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China., Jin Y; Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore., Chiu PW; Multi-scale Medical Robotics Center and The Chinese University of Hong Kong, Hong Kong, China. philipchiu@surgery.cuhk.edu.hk., Yam Y; Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China. yyam@mae.cuhk.edu.hk.; Multi-scale Medical Robotics Center and The Chinese University of Hong Kong, Hong Kong, China. yyam@mae.cuhk.edu.hk.; Centre for Perceptual and Interactive Intelligence and The Chinese University of Hong Kong, Hong Kong, China. yyam@mae.cuhk.edu.hk., Meng HM; Centre for Perceptual and Interactive Intelligence and The Chinese University of Hong Kong, Hong Kong, China. hmmeng@se.cuhk.edu.hk., Dou Q; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China. qidou@cuhk.edu.hk. |
| Source: | Nature communications [Nat Commun] 2023 Oct 21; Vol. 14 (1), pp. 6676. Date of Electronic Publication: 2023 Oct 21. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-023-42451-8 |
