Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface

Author:

Armin Mohammad Ali1,Barnes Nick12,Grimpen Florian3,Salvado Olivier1

Affiliation:

1. CSIRO (Data61) 3D Computer Vision Canberra Australia

2. College of Engineering and Computer Science (ANU) Canberra Australia

3. Department of Gastroenterology and Hepatology Royal Brisbane and Women's Hospital Brisbane Australia

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Reference16 articles.

1. Prema T. Michael S. Jane Y. et al. : ‘Colorectal cancer in Australia – cancer guidelines wiki’. Available athttps://wiki.cancer.org.au/australia/Guidelines:Colorectal_cancer/Colorectal_Cancer_in_Australia#Introduction

2. ‘World health organization (WHO)’. Available athttps://www.who.int/news‐room/fact‐sheets/detail/cancer

3. Variation in polyp detection rates at screening colonoscopy

4. Colonoscopy: what endoscopists inspect under optimal conditions;Edakkanambeth Varayil J.;Gastroenterology,2011

5. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

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3. Artificial Intelligence for Colonoscopy: Past, Present, and Future;IEEE Journal of Biomedical and Health Informatics;2022-08

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