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

Internet

https://revistas.usfq.edu.ec/index.php/avances/article/view/2288

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