Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis-Reference-Cited by-同舟云学术

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Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis

Published:2021-07-06 Issue: Volume: Page:
ISSN:0930-2794
Container-title:Surgical Endoscopy
language:en
Short-container-title:Surg Endosc

Author:

Cheng Ke,You Jiaying,Wu Shangdi,Chen Zixin,Zhou Zijian,Guan Jingye,Peng Bing,Wang Xin

Funder

key project of Health Commission of Sichuan Province

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00464-021-08619-3.pdf

Reference30 articles.

1. Hashimoto DA, Rosman G, Rus D, Meireles OR (2018) Artificial intelligence in surgery: promises and perils. Ann Surg 268:70–76

2. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115–118

3. Zappella L, Bejar B, Hager G, Vidal R (2013) Surgical gesture classification from video and kinematic data. Med Image Anal 17:732–745

4. Twinanda AP, Shehata S, Mutter D, Marescaux J, de Mathelin M, Padoy N (2017) EndoNet: a deep architecture for recognition tasks on laparoscopic videos. IEEE Trans Med Imaging 36:86–97

5. Hashimoto DA, Rosman G, Witkowski ER, Stafford C, Navarette-Welton AJ, Rattner DW, Lillemoe KD, Rus DL, Meireles OR (2019) Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy. Ann Surg 270:414–421

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4. Artificial intelligence applied to laparoscopic cholecystectomy: what is the next step? A narrative review;Updates in Surgery;2024-06-05

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