Development of deep learning framework for anatomical landmark detection and guided dissection line during laparoscopic cholecystectomy-Reference-Cited by-同舟云学术

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Development of deep learning framework for anatomical landmark detection and guided dissection line during laparoscopic cholecystectomy

Published:2024-02 Issue:3 Volume:10 Page:e25210
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Smithmaitrie Pruittikorn,Khaonualsri Methasit^ORCID,Sae-Lim Wannipa^ORCID,Wangkulangkul Piyanun^ORCID,Jearanai Supakool,Cheewatanakornkul Siripong^ORCID

Publisher

Elsevier BV

Reference42 articles.

1. Laparoscopic cholecystectomy;Litwin;Surg. Clin. North Am.,2008

2. Avoidance of biliary injury during laparoscopic cholecystectomy;Strasberg;J. Hepato Biliary Pancreat. Surg.,2002

3. Safe laparoscopic cholecystectomy: adoption of universal culture of safety in cholecystectomy;Gupta;World J. Gastrointest. Surg.,2019

4. Epidemiology of gallbladder stone disease;Shaffer;Best Pract. Res. Clin. Gastroenterol.,2006

5. Outcome trends and safety measures after 30 years of laparoscopic cholecystectomy: a systematic review and pooled data analysis;Pucher;Surg. Endosc.,2018

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