文章基本信息

标题：Lung Cancer Detection Using CT Image Based on 3D Convolutional Neural Network
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作者：Tasnim Ahmed ; Mst. Shahnaj Parvin ; Mohammad Reduanul Haque 等
期刊名称：Journal of Computer and Communications
印刷版ISSN：2327-5219
电子版ISSN：2327-5227
出版年度：2020
卷号：8
期号：3
页码：35-42
DOI：10.4236/jcc.2020.83004
出版社：Scientific Research Publishing
摘要：Early detection of lung nodule is of great importance for the successful diagnosis and treatment of lung cancer. Many researchers have tried with diverse methods, such as thresholding, computer-aided diagnosis system, pattern recognition technique, backpropagation algorithm, etc. Recently, convolutional neural network (CNN) finds promising applications in many areas. In this research, we investigated 3D CNN to detect early lung cancer using LUNA 16 dataset. At first, we preprocessed raw image using thresholding technique. Then we used Vanilla 3D CNN classifier to determine whether the image is cancerous or non-cancerous. The experimental results show that the proposed method can achieve a detection accuracy of about 80% and it is a satisfactory performance compared to the existing technique.
关键词：Lung Cancer;Convolutional Neural Network;Tensorflow;CT Scan