| dc.creator | Varela-Santos, Sergio | |
| dc.creator | Melin, Patricia | |
| dc.date | 2020-09-29T20:29:11Z | |
| dc.date | 2020-09-29T20:29:11Z | |
| dc.date | 2021-02 | |
| dc.date.accessioned | 2023-09-28T20:05:14Z | |
| dc.date.available | 2023-09-28T20:05:14Z | |
| dc.identifier | VARELA-SANTOS, S.; MELIN, P. A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks. Information Sciences, [S.l.], v. 545, p. 403-414, Feb. 2021. | |
| dc.identifier | https://www.sciencedirect.com/science/article/pii/S0020025520309531 | |
| dc.identifier | http://repositorio.ufla.br/jspui/handle/1/43240 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9044113 | |
| dc.description | Since 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. | |
| dc.language | en_US | |
| dc.publisher | Elsevier | |
| dc.rights | restrictAccess | |
| dc.source | Information Sciences | |
| dc.subject | Neural networks | |
| dc.subject | Image classification | |
| dc.subject | COVID-19 | |
| dc.subject | Gray Level Co-Occurrence Matrix (GLCM) | |
| dc.subject | X-ray | |
| dc.subject | Pneumonia | |
| dc.title | A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks | |
| dc.type | Artigo | |
