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A novel machine learning-based algorithm to identify and classify lesions and anatomical landmarks in colonoscopy images.

Ying-Chun JhengYen-Po WangHung-En LinKuang-Yi SungYuan-Chia ChuHuann-Sheng WangJeng-Kai JiangMing-Chih HouFa-Yauh LeeChing-Liang Lu
Published in: Surgical endoscopy (2021)
A CNN-based algorithm (GUTAID) to identify colonic abnormalities and landmarks was successfully established with high accuracy. This GUTAID system can further characterize polyps for optical diagnosis. We demonstrated that AI classification methodology is feasible to identify multiple and different colon diseases.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • big data
  • high resolution
  • high speed
  • optical coherence tomography
  • ulcerative colitis
  • colorectal cancer screening