Measuring the Impact of Data Augmentation Techniques in Lung Radiograph Classification Using a Fractional Factorial Design: A Covid-19 Case Study

Conference Object

Abstract: Convolutional neural networks (CNNs) have become dominant in various computer vision tasks, obtainin

Palabras claves:

convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image Classification

Autores:

Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Jose Murillo J., Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores Moyano

Fuentes:

scopus