Implementing a deep learning framework for the detection And classification of lung diseases using CHEST X-RAY dataset

Firstly, we need to have a large dataset containing images of covid19, pneumonia, Tuberculosis and Lung cancer Then we have to train the dataset using different algorithms like. VGG16, VGG19, LSTM, CNN,RESNET etc. And after training the images, we have to test the images and classify them into categories. Need is to enhance the accuracy of the existing frameworks and reducing the loss of the model by using some hybrid approaches.