Comparative study of convolutional neural network architectures for gastrointestinal lesions classification

Comparative study of convolutional neural network architectures for gastrointestinal lesions classification

The gastrointestinal (GI) tract can be affected by different diseases or lesions such as esophagitis, ulcers, hemorrhoids, and polyps, among others. Some of them can be precursors of cancer such as polyps. Endoscopy is the standard procedure for the detection of these lesions. The main drawback of t...

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Bibliographic Details
Main Authors: Erik O. Cuevas-Rodriguez, Carlos E. Galvan-Tejada, Valeria Maeda-Gutiérrez, Gamaliel Moreno-Chávez, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Huizilopoztli Luna-García, Arturo Moreno-Baez, José María Celaya-Padilla
Format: Article
Language:English
Published: PeerJ Inc. 2023-03-01
Series:PeerJ
Subjects:
Convolutional neural network
Gastrointestinal lesions
Classification
Deep learning
Endoscopy
Gastrointestinal
Online Access:https://peerj.com/articles/14806.pdf

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https://peerj.com/articles/14806.pdf

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