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Demarcation line determination for diagnosis of gastric cancer disease range using unsupervised machine learning in magnifying narrow-band imaging

2020-11-05

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objectives</h4> It is important to determine an accurate demarcation line (DL) between the cancerous lesions and background mucosa in magnifying narrow-band imaging (M-NBI)-based diagnosis. However, it is difficult for novice endoscopists. Our aim was to automatically determine the accurate DL using a machine learning method. <h4>Methods</h4> We used an unsupervised machine learning approach...

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Literature Corpus work
03a80963-5802-52c5-bef6-d2d6503483e5
DOI
10.1101/2020.11.03.20189472
Open publication

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Demarcation line determination for diagnosis of gastric cancer disease range using unsupervised machine learning in magnifying narrow-band imagingDOI 10.1101/2020.11.03.20189472
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