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Pneumonia Detection using Deep Learning

Pneumonitis is a fatal disease that has an adverse effect on human respiratory system. It makes the air sacs of lungs inflammatory. It can happen due to viral or bacterial infections. It creates difficulty in breathing and causes pain. It can be severe and fatal if not treated at the earliest. So, the detection of pneumonia is needed as soon as possible. Hence the main objective of the project is to make a self-learning model whose training is done on multiple digital X-rays of chest to detect the pneumonia patients. This can help in the quick diagnosis of disease and give the treatment at the earliest. The model is trained on the ResNet and finetuned to give a good accuracy and prediction. The fine-tuned model can accurately classify the disease at 91 % of accuracy.