Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 16 (2020)  /  Artículo
ARTÍCULO
TITULO

COVID-XNet: A Custom Deep Learning System to Diagnose and Locate COVID-19 in Chest X-ray Images

Lourdes Duran-Lopez    
Juan Pedro Dominguez-Morales    
Jesús Corral-Jaime    
Saturnino Vicente-Diaz and Alejandro Linares-Barranco    

Resumen

This work could be used to aid radiologists in the screening process, contributing to the fight against COVID-19.

PÁGINAS
pp. 0 - 0

 Artículos similares

       
 
Michal Machura, Michal Danilowicz and Tomasz Kryjak    
Object detection is an essential component of many systems used, for example, in advanced driver assistance systems (ADAS) or advanced video surveillance systems (AVSS). Currently, the highest detection accuracy is achieved by solutions using deep convol... ver más

 
Dan Claudiu Neagu, Andrei Bogdan Rus, Mihai Grec, Mihai Augustin Boroianu, Nicolae Bogdan and Attila Gal    
With the increased popularity of social media platforms such as Twitter or Facebook, sentiment analysis (SA) over the microblogging content becomes of crucial importance. The literature reports good results for well-resourced languages such as English, S... ver más
Revista: Algorithms

 
César G. Pachón, Dora M. Ballesteros and Diego Renza    
Recently, some state-of-the-art works have used deep learning-based architectures, specifically convolutional neural networks (CNNs), for banknote recognition and counterfeit detection with promising results. However, it is not clear which design strateg... ver más
Revista: Applied Sciences