Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review.
Mustafa GhaderzadehFarkhondeh AsadiPublished in: Journal of healthcare engineering (2021)
The application of deep learning in the field of COVID-19 radiologic image processing reduces false-positive and negative errors in the detection and diagnosis of this disease and offers a unique opportunity to provide fast, cheap, and safe diagnostic services to patients.
Keyphrases
- deep learning
- coronavirus disease
- artificial intelligence
- sars cov
- end stage renal disease
- convolutional neural network
- ejection fraction
- newly diagnosed
- healthcare
- machine learning
- loop mediated isothermal amplification
- chronic kidney disease
- real time pcr
- label free
- prognostic factors
- mental health
- patient safety
- electronic health record
- health insurance
- quantum dots
- sensitive detection