Ontology highlight
ABSTRACT:
SUBMITTER: Elaziz MA
PROVIDER: S-EPMC7319603 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Elaziz Mohamed Abd MA Hosny Khalid M KM Salah Ahmad A Darwish Mohamed M MM Lu Songfeng S Sahlol Ahmed T AT
PloS one 20200626 6
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO) in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 patients by visually analyzing their chest x-ray images. In this paper, a new ML-method proposed to classify the chest x-ray images into two classes, COVID-19 patient or non-COVID-19 person. The features extracted from the chest x-ray images using new Fractional Multichannel Exponent Moments (FrMEMs). A parallel multi-core ...[more]