Lung Cancer Detection using Ensemble Algorithm

A deadly hereditary illness, lung cancer is caused by an aberrant proliferation of malignant cells in the lungs of an individual. As one of the most important organs in the human body, the lungs might have major consequences from lung cancer. In order to help both patients and physicians, we have concentrated on the rapid diagnosis of lung cancer in our work. Histopathology pictures and other diagnostic methods can also be used to diagnose lung cancer.In existing methodology, it is identified that the methods are time taking process and less Accuracy. The proposed work contains a hybridized model of Convolution neural networks and an ensemble of Machine Learning algorithms: Support Vector Classifier, Random Forest, and Ada Boost that detect the lung cancer using histopathology images.