• S. Deepika
• Dr.M. Rajeswari

This study has been undertaken to determine a viable way to detect and diagnose COVID-19 by using deep transfer learning methods. Medical image analysis is one of the most important fields of study, offering diagnosis and decision-making tools for a variety of diseases, such as the Middle East respiratory syndrome (MERS) or COVID-19. X-ray and CT scan images are employed for image analysis to detect a disease in early stage and diagnose a person by preventing an outbreak. This study ensures an uncertainty transfer learning approach to extract more informative and discriminative features. The transfer learning algorithm is fine-tuned by a novel adaptive mechanism which automatically determines how many and which layers of a CNN to fine-tune for a given set of images.

Machine learning techniques, convolutional neural networks (CNNs) and deep learning models, COVID-19.

"DEEP TRANSFER LEARNING FOR COVID-19 DIAGNOSIS USING MEDICAL IMAGING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.1-5, June-2022, Available :http://www.jetir.org/papers/JETIRFN06001.pdf

"DEEP TRANSFER LEARNING FOR COVID-19 DIAGNOSIS USING MEDICAL IMAGING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp1-5, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06001.pdf