As we already know, testing is one of the most important steps towards inhibiting the spread of Covid-19. Even though a lot of work has already been done on Covid-19 detection using Chest X-rays, we need a more accurate and efficient model to detect Covid cases.
Proposed Approach
To achieve higher accuracy in the detection of Covid-19 using Chest X-rays, the following model was used:
We used Transfer Learning approach to train the following models:
Densenet201
InceptionV3
Resnet50V2
An ensemble model, consisting of the three models, is created.
According to the accuracy yielded by the models individually, weights were assigned to ensemble model.
