COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

• Published in: arXiv.org
• Main Authors: El-Din Hemdan, Ezz, Shouman, Marwa A, Mohamed Esmail Karar
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 24.03.2020
• Subjects: Artificial neural networks; Coronaviruses; COVID-19; Deep learning; Image classification; Machine learning; Model testing; Neural networks; Respiratory diseases; Severe acute respiratory syndrome; Viral diseases

Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV). The novel 2019 Coronavirus disease (COVID-19) was discovered as a novel disease pneumonia in the city of Wuhan, China at the end...