Deep learning implementation for extrahepatic bile duct detection during indocyanine green fluorescence-guided laparoscopic cholecystectomy: pilot study

This model could potentially assist surgeons in identifying the critical landmarks during laparoscopic cholecystectomy, thereby minimizing the risk of bile duct injuries.

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Publication Details

Journal
BJS Open
Published
2025-03-04
DOI
https://doi.org/10.1093/bjsopen/zraf013
Citations
3
Primary Topic
Gallbladder and Bile Duct Disorders
Type
article
Field-Weighted Citation Impact
4.56

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article

Deep learning implementation for extrahepatic bile duct detection during indocyanine green fluorescence-guided laparoscopic cholecystectomy: pilot study

Shih‐Min Yin, I-Min Chiu, Jenn-Jier James Lien
3 citations
BJS Open
Gallbladder and Bile Duct Disorders
4.56
article

Deep learning implementation for extrahepatic bile duct detection during indocyanine green fluorescence-guided laparoscopic cholecystectomy: pilot study

Shih‐Min Yin, I-Min Chiu, Jenn-Jier James Lien
article en
3 citations

Abstract

This model could potentially assist surgeons in identifying the critical landmarks during laparoscopic cholecystectomy, thereby minimizing the risk of bile duct injuries.

BJS OpenVol. 9(2)
Chang Gung University (TW), Kaohsiung Chang Gung Memorial Hospital (TW), National Cheng Kung University (TW)
Chang Gung Memorial Hospital
Openalex Percentile: Top 6%
Gallbladder and Bile Duct Disorders
4.56
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