DEEP CONVOLUTIONAL NEURAL NETWORKS TO DETECT LUNG CANCER STAGE

Year 2017, Volume: 2 Issue: 2, 33 - 36, 01.12.2017

H. Selcuk Nogay

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 (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

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