A Residual Network Model (ResNet152) for Bronchitis Detection using X-ray Images

Every year 5 Lakhs of people affects from bronchitis and it rate crores of rupees to the public treasury for the industry of health care. It also affects cancer causing agents like diseases which can also lead to death of a human being. Thus diagnosing at the early stage becomes successful detection, prevention and survival of that diseased patient. The work at present where doctors predict by observing the symptoms or observing the x rays of the patients then the doctor used to percept about the disease. The purpose of the model is to build a model used to classify whether the patient is suffering from bronchitis or normal lung by x-ray images. A pre-trained Residual network model (ResNet152) is used for predicting early bronchitis and classifying the images by labeling them.