Towards real-world clinical colonoscopy deep learning models for video-based bowel preparation and generalisable polyp segmentation

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Towards real-world clinical colonoscopy deep learning models for video-based bowel preparation and generalisable polyp segmentation

Colorectal cancer is the most prevalence type of cancers within the digestive system. Early screening and removal of precancerous growths in the colon decrease mortality rate. The golden standard screening type for colon is colonoscopy which is conducted by a medical expert (i.e., colonoscopist). Ne...

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Bibliographic Details
Main Author:	Haithami, Mahmood
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	deep learning colonoscopy artificial intelligence digestive system gastrointestinal tract polyps segmentation bowel preparations classification videos images
Online Access:	https://eprints.nottingham.ac.uk/78094/

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