Efficient prediction of Lung disease using Transfer learning and VGG16 deep learning model
Abstract
People throughout the world suffering with several Health disorders. Eventhough various disorders exist but few disorders scch heart diseases, lungs disrorders, kidney diseases and blood cancer are more dangerous. The lung disease is one of the dangerous disease compared to other existing health disorders. The lung disease is disorder that affect the lungs, airways, or blood vessels, including common problems like asthma, chronic pulmonary disease, pneumonia and lung cancer. These conditions are frequently brought on by smoking, infections, pollution, or genetics and cause symptoms like exhaustion, coughing, and shortness of breath that need to be diagnosed and treated right away. Transfer learning is best suitable learning models used for lungs disorders prediction. Deep learning models such as Convolutional Neural Network(CNN) and VGG16 model used in proposed research along with transfer learning model such as ResNet50 for lung disorders prediction. ResNet50 produces highest accuracy in lungs disease prediction when compared to CNN and VGG16 deep learning models.