A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorVarela-Santos, Sergio-
Autor(es): dc.creatorMelin, Patricia-
Data de aceite: dc.date.accessioned2026-02-09T11:20:45Z-
Data de disponibilização: dc.date.available2026-02-09T11:20:45Z-
Data de envio: dc.date.issued2020-09-29-
Data de envio: dc.date.issued2020-09-29-
Data de envio: dc.date.issued2021-01-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/43240-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0020025520309531-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1138919-
Descrição: dc.descriptionSince the recent challenge that humanity is facing against COVID-19, several initiatives have been put forward with the goal of creating measures to help control the spread of the pandemic. In this paper we present a series of experiments using supervised learning models in order to perform an accurate classification on datasets consisting of medical images from COVID-19 patients and medical images of several other related diseases affecting the lungs. This work represents an initial experimentation using image texture feature descriptors, feed-forward and convolutional neural networks on newly created databases with COVID-19 images. The goal was setting a baseline for the future development of a system capable of automatically detecting the COVID-19 disease based on its manifestation on chest X-rays and computerized tomography images of the lungs.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceInformation Sciences-
Palavras-chave: dc.subjectNeural networks-
Palavras-chave: dc.subjectImage classification-
Palavras-chave: dc.subjectCOVID-19-
Palavras-chave: dc.subjectGray Level Co-Occurrence Matrix (GLCM)-
Palavras-chave: dc.subjectX-ray-
Palavras-chave: dc.subjectPneumonia-
Título: dc.titleA new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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