COVID-19 Classification Models Based on Transfer Learning Approaches

Khalid S

Department of Computer Science & Information Technology, Mirpur University of Science and Technology (MUST), Pakistan

^*Correspondance to: Samina Khalid 

 PDF  Full Text Review Article | Open Access

Abstract:

WHO declared COVID-19 a pandemic in 2020. The virus can cause severe respiratory problems and affects the lungs. Timely precautions and accurate diagnosis is necessary to contain the spread of the virus. Diagnosis of COVID-19 was often misdiagnosed as Pneumonia and Tuberculosis (TB) in some cases. Accurate diagnosis is as important as timely diagnosis of this virus. For this purpose, multiple Machine Learning (ML) Deep Learning (DL), and Transfer Learning (TL) based approaches have been used. This paper analyzes transfer learning-based models that have been used, including classes of images, diseases, datasets, and accuracy.

Keywords:

Transfer Learning; Machine Learning; Deep Learning; COVID-19; X-ray; CT; Lungs

Cite the Article:

Khalid S. COVID-19 Classification Models Based on Transfer Learning Approaches. Clin Case Rep Int. 2023; 7: 1492.