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