Deep Convolutional Neural Network-Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study.
Mustafa GhaderzadehFarkhondeh AsadiRamezan JafariSoroush SadeghiHassan AbolghasemiMehrad AriaPublished in: Journal of medical Internet research (2021)
The proposed model achieved acceptable results in the categorization of 2 data classes. Therefore, a CAD system was designed on the basis of this model for COVID-19 detection using multiple lung computed tomography scans. The system differentiated all COVID-19 cases from non-COVID-19 ones without any error in the application phase. Overall, the proposed deep learning-based CAD system can greatly help radiologists detect COVID-19 in its early stages. During the COVID-19 pandemic, the use of a CAD system as a screening tool would accelerate disease detection and prevent the loss of health care resources.
Keyphrases
- coronavirus disease
- sars cov
- computed tomography
- deep learning
- convolutional neural network
- healthcare
- coronary artery disease
- respiratory syndrome coronavirus
- loop mediated isothermal amplification
- primary care
- artificial intelligence
- label free
- real time pcr
- magnetic resonance imaging
- positron emission tomography
- contrast enhanced
- health insurance
- image quality