Lung Cancer Diagnosis using Transfer Learning

Lung cancer is unquestionably a lung-influencing chronic condition that significantly hampers the respiratory system. It second most dangerous disease which causes increase in death rate. To resolve this issue, we had planned to create very Convolutional Neural Network using Transfer learning specifically classify lungs CT scans as normal, malignant, or benign subtle way. A dataset of 1100 lung used for purpose. For part, five Learning architectures are compared extensively classification such MobileNet, VGG16, VGG19, DenseNet-201 and ResNet-101. Out which, performed best. The proposed strategy achieved mean accuracy 53 percent trials 43% F1-score, precision recall.