Binary polyp-size classification based on deep-learned spatial information
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DOI: 10.1007/s11548-021-02477-z
Abstract: The size information of detected polyps is an essential factor for diagnosis in colon cancer screening. For example, adenomas and sessile serrated polyps that are ≥10\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge… read more here.
Keywords: size classification; usepackage; polyp size; classification ... See more keywords