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

BACKGROUND AND AIMS: Identification and photo-documentation of the ileocecal valve (ICV) and appendiceal orifice (AO) confirm completeness of colonoscopy examinations. We aimed to develop and test a deep convolutional neural network (DCNN) model that can automatically identify ICV and AO, and differ...

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Detalles Bibliográficos
Autores principales: Taghiakbari, Mahsa, Hamidi Ghalehjegh, Sina, Jehanno, Emmanuel, Berthier, Tess, di Jorio, Lisa, Ghadakzadeh, Saber, Barkun, Alan, Takla, Mark, Bouin, Mickael, Deslandres, Eric, Bouchard, Simon, Sidani, Sacha, Bengio, Yoshua, von Renteln, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395661/
https://www.ncbi.nlm.nih.gov/pubmed/37538187
http://dx.doi.org/10.1093/jcag/gwad017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395661/
https://www.ncbi.nlm.nih.gov/pubmed/37538187
http://dx.doi.org/10.1093/jcag/gwad017

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