A novel framework based on deep learning for COVID-19 diagnosis from X-ray images

ABSTRACT:

Background

The coronavirus infection has endangered human health because of the high speed of the outbreak. A rapid and accurate diagnosis of the infection is essential to avoid further spread. Due to the cost of diagnostic kits and the availability of radiology equipment in most parts of the world, the COVID-19 detection method using X-ray images is still used in underprivileged countries. However, they are challenging due to being prone to human error, time-consuming, and demanding. The success of deep learning (DL) in automatic COVID-19 diagnosis systems has necessitated a detection system using these techniques. The most critical challenge in using deep learning techniques in diagnosing COVID-19 is accuracy because it plays an essential role in controlling the spread of the di

SUBMITTER:  

PROVIDER: S-EPMC10280393 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature