Automated Detection of Anatomical Landmarks During Colonoscopy Using a Deep Learning Model.

Mahsa Taghiakbari,Sina Hamidi Ghalehjegh, Emmanuel Jehanno,Tess Berthier,Lisa di Jorio, Saber Ghadakzadeh,Alan Barkun,Mark Takla,Mickael Bouin,Eric Deslandres,Simon Bouchard,Sacha Sidani,Yoshua Bengio,Daniel von Renteln Md

Journal of the Canadian Association of Gastroenterology（2023）

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摘要

This model offers a novel tool to assist endoscopists with automated identification of AO and ICV during colonoscopy. The model can reliably distinguish these anatomical landmarks from normal mucosa and colorectal polyps. It can be implemented into automated colonoscopy report generation, photo-documentation, and quality auditing solutions to improve colonoscopy reporting quality.

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关键词

colonoscopy,deep learning model,anatomical landmarks,detection

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