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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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Principais autores: Adrian Trueba Espinosa, Jessica Sanchez -Arrazola, Jair Cervantes, Farid Garcia-Lamont, José Sergio Ruiz Castilla
Formato: Artigo
Idioma:Inglês
Publicado em: Computer Vision Center Press 2024-07-01
coleção:ELCVIA Electronic Letters on Computer Vision and Image Analysis
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Acesso em linha:https://elcvia.cvc.uab.cat/article/view/1561
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