AUTOMATED DETECTION OF ANATOMICAL LANDMARKS DURING COLONOSCOPY USING A DEEP LEARNING MODEL

Mahsa Taghiakbari  1     Sina Hamidi Ghalehjegh  2     Emmanuel Jehanno     Tess Berthier     Lisa di Jorio     Alan N. Barkun  3     Mark Takla     Mickael Bouin     Eric Deslandres     Simon Bouchard     Sacha Sidani     Yoshua Bengio     Daniel von Renteln    
1 University of Montreal, Montreal, Canada
2 Imagia Canexia Health Inc., Montreal, Canada
3 McGill University, Montreal, Canada

Session
Endoscopy and imaging (Posters)

Conference
UEG Week 2022

Citation
United European Gastroenterology Journal 2022; 10 (Supplement 8)

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