An adaptive paradigm for computer-aided detection of colonic polyps

Physics in Medicine and Biology
Huafeng WangChris E Lascarides

Abstract

Most previous efforts in developing computer-aided detection (CADe) of colonic polyps apply similar measures or parameters to detect polyps regardless of their locations under an implicit assumption that all the polyps reside in a similar local environment, e.g. on a relatively flat colon wall. In reality, this implicit assumption is frequently invalid, because the haustral folds can have a very different local environment from that of the relatively flat colon wall. We conjecture that this assumption may be a major cause of missing the detection of polyps, especially small polyps (<10 mm linear size) located on the haustral folds. In this paper, we take the concept of adaptiveness and present an adaptive paradigm for CADe of colonic polyps. Firstly, we decompose the complicated colon structure into two simplified sub-structures, each of which has similar properties, of (1) relatively flat colon wall and (2) ridge-shaped haustral folds. Then we develop local environment descriptions to adaptively reflect each of these two simplified sub-structures. To show the impact of the adaptiveness of the local environment descriptions upon the polyp detection task, we focus on the local geometrical measures of the volume data for both the...Continue Reading

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Citations

Nov 29, 2016·IEEE Transactions on Bio-medical Engineering·Yacheng RenJun Zhao
Jan 10, 2019·Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society·Shin-Ei KudoKensaku Mori
Apr 24, 2019·World Journal of Gastroenterology : WJG·Young Joo Yang, Chang Seok Bang
Aug 17, 2018·Physics in Medicine and Biology·Faisal MahmoodNicholas J Durr
Sep 25, 2020·Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society·Masashi MisawaKensaku Mori

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