DEEP CONVOLUTIONAL NEURAL NETWORKS TO DETECT LUNG CANCER STAGE

Authors : H Selcuk NOGAY

Pages : 33-36

View : 11 | Download : 12

Publication Date : 2017-12-01

Article Type : Research Paper

Abstract :Regardless of the type of cancer, the treatment process starts after the staging process. The treatment method to be applied to the cancer patient depends on the stage of the disease. Therefore, all studies on the staging of cancer types have a big precaution. In this study, deep convolutional neural networks insert ignore into journalissuearticles values(DCNN); were used for staging of lung cancer. The TNM classification system is considered for staging. According to TNM, there are nine tumor stages in lung cancer. In the study, 200 data for each stage of lung cancer and 1800 MR images for 9 stages in total were used. As a result, a classification of 99.8% accuracy was performed in order to stage lung cancer with the proposed DCNN model.
Keywords : Deep learning, Convolutional neural network, Lung cancer, Stage