Use of U-Net Convolutional Neural Networks for Automated Segmentation of Fecal Material for Objective Evaluation of Bowel Preparation Quality in Colonoscopy.

Yen-Po WangYing-Chun JhengKuang-Yi SungHung-En LinI-Fang HsinPing-Hsien ChenYuan-Chia ChuDavid LuYuan-Jen WangMing-Chih HouFa-Yauh LeeChing-Liang Lu

Published in: Diagnostics (Basel, Switzerland) (2022)

We established a fully automatic segmentation method to rapidly and accurately mark the fecal residue-coated mucosa for the objective evaluation of colon preparation.

Keyphrases

convolutional neural network
deep learning
molecularly imprinted
machine learning
high throughput
solid phase extraction
single cell
high resolution
simultaneous determination
liquid chromatography
tandem mass spectrometry