A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images.

ABSTRACT: Coronavirus disease is a viral infection caused by a novel coronavirus (CoV) which was first identified in the city of Wuhan, China somewhere in the early December 2019. It affects the human respiratory system by causing respiratory infections with symptoms (mild to severe) like fever, cough, and weakness but can further lead to other serious diseases and has resulted in millions of deaths until now. Therefore, an accurate diagnosis for such types of diseases is highly needful for the current healthcare system. In this paper, a state of the art deep learning method is described. We propose COVDC-Net, a Deep Convolutional Network-based classification method which is capable of identifying SARS-CoV-2 infected amongst healthy and/or pneumonia patients from their chest X-ray images. The propos

SUBMITTER: Sharma A 

PROVIDER: S-EPMC9057938 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature