Details
Presenter(s)
![Biswajit Bhowmik Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/82121.jpg?h=2c4e73f8&itok=lzuMsaOQ)
Display Name
Biswajit Bhowmik
- Affiliation
-
AffiliationNational Institute of Technology Karnataka
- Country
Abstract
This paper proposes a custom deep neural network-based scheme for coronavirus disease 2019 (COVID-19) detection. The proposed method takes X-ray images that use transfer learning techniques on pre-trained models. One objective of this work is to quickening the detection of the virus. Another goal is to reduce the number of falsely detected cases by a significant margin. The experimental setup demonstrates promising results on the selected dataset, which achieve up to 99.74%, 99.69%, 98.80% as classification, precision, and recall accuracy.