Artificial Intelligence and Panendoscopy—Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy

Artificial Intelligence and Panendoscopy—Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy

Device-assisted enteroscopy (DAE) is capable of evaluating the entire gastrointestinal tract, identifying multiple lesions. Nevertheless, DAE’s diagnostic yield is suboptimal. Convolutional neural networks (CNN) are multi-layer architecture artificial intelligence models suitable for image analysis,...

Full description

Bibliographic Details
Main Authors: Francisco Mendes, Miguel Mascarenhas, Tiago Ribeiro, João Afonso, Pedro Cardoso, Miguel Martins, Hélder Cardoso, Patrícia Andrade, João P. S. Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Cancers
Subjects:
artificial intelligence
deep learning
panendoscopy
device-assisted enteroscopy
Online Access:https://www.mdpi.com/2072-6694/16/1/208

Internet

https://www.mdpi.com/2072-6694/16/1/208

Similar Items