Computer-Aided Lung Cancer Detection and Classification of CT Images Using Convolutional Neural Network

Lung cancer is one of the mortal cancer types that cause a high number of deaths every year. If not diagnosed in early stages, the probability of survival of a patient with lung cancer decreases drastically. For early detection of lung cancer and to avoid worse situation, computer-aided detection (CAD) has been designed. This work proposes a CAD system with the help of deep learning-based model. The proposed model is based on a convolutional neural network (CNN) which is used to classify CT images into malignant or non-malignant with the help of pre-processing and segmentation techniques. This model gives accuracy up to 86.42% and other values such as specificity 86.72% and sensitivity 86.11%.