COVID-19 ResNet: Residual neural network for COVID-19 classification with bayesian data augmentation

COVID-19 ResNet: Residual neural network for COVID-19 classification with bayesian data augmentation

COVID-19 is an infectious disease caused by a novel coronavirus called SARS-CoV-2. The first case appeared in December 2019, and until now it still represents a significant challenge to many countries in the world. Accurately detecting positive COVID-19 patients is a crucial step to reduce the spre...

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Bibliographic Details
Main Authors:	Maria Baldeon calisto, Javier Sebastián Balseca Zurita, Martin Alejandro Cruz Patiño
Format:	Article
Language:	English
Published:	Universidad San Francisco de Quito USFQ 2021-11-01
Series:	ACI Avances en Ciencias e Ingenierías
Subjects:	Convolutional Neural Networks Deep Learning Bayesian Optimization Medical Image Analysis Data Augmentation Hyperparameters
Online Access:	https://revistas.usfq.edu.ec/index.php/avances/article/view/2288

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