Densely connected convolutional networks-based COVID-19 screening model

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 51; no. 5; pp. 3044 - 3051
• Main Authors: Singh, Dilbag, Kumar, Vijay, Kaur, Manjit
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2021; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial Intelligence Applications for COVID-19; Chest; Classification; Computed tomography; Computer Science; Control; Coronaviruses; COVID-19; Detection; Diagnosis; Indexing; Machine learning; Machines; Manufacturing; Mechanical Engineering; Medical imaging; Model accuracy; Polymerase chain reaction; Prediction; Processes; Screening; Sensitivity; Tuberculosis; Deep learning; COVID-19; Chest CT; Transfer learning

The extensively utilized tool to detect novel coronavirus (COVID-19) is a real-time polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical time, around 6 to 9 hours to classify the subjects as COVID-19(+) or COVID-19(-). Due to the less sensitivity of RT-PCR, it suf...