Polyp Detection Using YOLOv9 on Real and Synthetic Colonoscopy Images.

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Bibliographic Details
Title: Polyp Detection Using YOLOv9 on Real and Synthetic Colonoscopy Images.
Authors: Chng SY; Division of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Li JW; Division of Medicine and Inpatient Care, Sengkang General Hospital, Singapore., Trinh HH; School of Computing, National University of Singapore, Singapore., Lim JLX; NUS High School of Mathematics and Science, Singapore., Kan MRX; School of Computing, National University of Singapore, Singapore., Vadapalli DS; NUS High School of Mathematics and Science, Singapore., Toh PZJ; Lee Kong Chian School of Medicine, Singapore., Ang TL; Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore.
Source: Journal of gastroenterology and hepatology [J Gastroenterol Hepatol] 2026 Jun; Vol. 41 (6), pp. 1803-1810. Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: Australia NLM ID: 8607909 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1440-1746 (Electronic) Linking ISSN: 08159319 NLM ISO Abbreviation: J Gastroenterol Hepatol Subsets: MEDLINE
Database: MEDLINE Ultimate
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