A Data Augmented Approach to Transfer Learning for Covid-19 Detection

no code implementations • 5 Aug 2021 • Shagufta Henna, Aparna Reji

In this work, we demonstrate that how we can augment limited X-ray images data by using Contrast limited adaptive histogram equalization (CLAHE) to train the last layer of the pre-trained deep learning models to mitigate the bias of transfer learning for Covid-19 detection.

COVID-19 Diagnosis Transfer Learning