Deep Learning for Automatic Identification and Characterization of the Bleeding Potential of Enteric Protruding Lesions in Capsule Endoscopy

Deep Learning for Automatic Identification and Characterization of the Bleeding Potential of Enteric Protruding Lesions in Capsule Endoscopy

Background and Aims: Capsule endoscopy (CE) revolutionized the study of the small intestine, overcoming the limitations of conventional endoscopy. Nevertheless, reviewing CE images is time-consuming. Convolutional Neural Networks (CNNs) are an artificial intelligence architecture with high performan...

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Bibliographic Details
Main Authors: João Afonso, Miguel Mascarenhas, Tiago Ribeiro, Hélder Cardoso, Patrícia Andrade, João P.S. Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Gastro Hep Advances
Subjects:
Capsule Endoscopy
Artificial Intelligence
Polyps
Gastrointestinal Hemorrhage
Online Access:http://www.sciencedirect.com/science/article/pii/S2772572322000619

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http://www.sciencedirect.com/science/article/pii/S2772572322000619

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