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Two-stage deep-learning-based colonoscopy polyp detection incorporating fisheye and reflection correction.

Chen-Ming HsuTsung-Hsing ChenChien-Chang HsuChe-Hao WuChun-Jung LinPuo-Hsien LeCheng-Yu LinTony Kuo
Published in: Journal of gastroenterology and hepatology (2024)
The proposed model can facilitate the clinical diagnosis of colorectal polyps and improve the quality of colonoscopy.
Keyphrases
  • deep learning
  • colorectal cancer screening
  • loop mediated isothermal amplification
  • artificial intelligence
  • machine learning
  • real time pcr
  • chronic rhinosinusitis
  • label free
  • quality improvement