Classification of radiological patterns of tuberculosis with a Convolutional neural network in x-ray images

In this paper we propose the classification of radiological patterns with the presence of tuberculosis in X-ray images, it was observed that two to six patterns (consolidation, fibrosis, opacity, opacity, pleural, nodules and cavitations) are present in the radiographs of the patients. It is importa...

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Bibliographic Details

Published in:	ELCVIA Electronic Letters on Computer Vision and Image Analysis
Main Authors:	Adrian Trueba Espinosa, Jessica Sanchez -Arrazola, Jair Cervantes, Farid Garcia-Lamont, José Sergio Ruiz Castilla
Format:	Article
Language:	English
Published:	Computer Vision Center Press 2024-07-01
Subjects:	Tuberculosis patterns Convolutional neural networks Chest X-rays
Online Access:	https://elcvia.cvc.uab.cat/article/view/1561