Deep lung cancer prediction and segmentation on CT scan

Abstract

Lung cancers are one of the world's lethal ailments and early prognosis of cancer is a complex mission in the detection of lung cancer. Analysis and treatment of lung malignancy has been one of the greatest problem faced by humans in the last few years. Early identification of the tumour would consistently make it easier to save a large number of lives across the globe. This paper presents an approach to classify tumour found in the lung as malignant or benign using a Convolutional Neural Network. Here, an Inception V3 model is used to predict if the lung is malignant or benign. The accuracy obtained through CNN is 97 percent, which is more efficient than traditional neural network system.