Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study

Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study

Digital single-operator cholangioscopy (D-SOC) has enhanced the ability to diagnose indeterminate biliary strictures (BSs). Pilot studies using artificial intelligence (AI) models in D-SOC demonstrated promising results. Our group aimed to develop a convolutional neural network (CNN) for the identif...

Full description

Bibliographic Details
Main Authors: Miguel Mascarenhas Saraiva, Tiago Ribeiro, Mariano González-Haba, Belén Agudo Castillo, João P. S. Ferreira, Filipe Vilas Boas, João Afonso, Francisco Mendes, Miguel Martins, Pedro Cardoso, Pedro Pereira, Guilherme Macedo
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Cancers
Subjects:
cholangioscopy
artificial intelligence
biliary strictures
Online Access:https://www.mdpi.com/2072-6694/15/19/4827

Internet

https://www.mdpi.com/2072-6694/15/19/4827

Similar Items