On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays.

ABSTRACT: The global COVID-19 pandemic that started in 2019 and created major disruptions around the world demonstrated the imperative need for quick, inexpensive, accessible and reliable diagnostic methods that would allow the detection of infected individuals with minimal resources. Radiography, and more specifically, chest radiography, is a relatively inexpensive medical imaging modality that can potentially offer a solution for the diagnosis of COVID-19 cases. In this work, we examined eleven deep convolutional neural network architectures for the task of classifying chest X-ray images as belonging to healthy individuals, individuals with COVID-19 or individuals with viral pneumonia. All the examined networks are established architectures that have been proven to be efficient in image classifica

SUBMITTER: Okolo GI 

PROVIDER: S-EPMC8434119 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature