Abstract
Sessile serrated lesions (SSL), with a flat and pale appearance on colonoscopy, are a target for colon cancer screening. In a previous study (Kimura et al. AJG 2012), the sensitivity for optical diagnosis of SSLs by the colonoscopist was 66% using magnified, image-enhanced features. Computer-aided diagnosis (CADx), using artificial intelligence, may facilitate diagnosis of SSLs without magnification and/or image-enhancement. The aim of this study was to develop a CADx system to differentiate SSLs from conventional adenoma or hyperplastic polyp (HP) using only non-magnified white light images (WLI).
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