Journal of Computer and Communications, 2020, 8, 35-42
https://www.scirp.org/journal/jcc
ISSN Online: 2327-5227
ISSN Print: 2327-5219
DOI:
10.4236/jcc.2020.83004 Mar. 5, 2020 35
Journal of Computer and Communications
Lung Cancer Detection Using CT Image Based
on 3D Convolutional Neural Network
Tasnim Ahmed
1*
, Mst. Shahnaj Parvin
2
, Mohammad Reduanul Haque
3
, Mohammad Shorif Uddin
1
1
Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh
2
Department of Computer Science and Engineering, Central Women’s University, Dhaka, Bangladesh
3
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
Abstract
Early detection of lung nodule is of great importance for the successful diag-
nosis and treatment of lung cancer.
Many researchers have tried with diverse
methods, such as thresholding, computer-aided diagnosis system, pattern rec-
ognition 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 u
sed Vanilla 3D CNN classifier to determine whether the image is
cancerous or non-cancerous. The experimental results show that the pro-
posed method can achieve a detection accuracy of about 80% and it is a satis-
factory performance compared to the existing technique.
Keywords
Lung Cancer, Convolutional Neural Network, Tensorflow, CT Scan
1. Introduction
Lung cancer is one of the most-fatal diseases all over the world today. About 1.8
million people have been suffering from lung cancer in the whole world [1]. In
the United States, only 17% of people diagnosed with lung cancer and they sur-
vived for five years after the diagnosis. But the survival rate is lower in develop-
ing countries [2]. The growth of uncontrolled cell can spread beyond the lung by
the process of metastasis into nearby tissue or other parts of the body [3]. The
cancer is localized to the lungs at the first two stages and is spread out different
organs in the latter stages. The diagnostic methods are CT scans (Computerized
Tomography), chest radiography (X-ray), MRI scan (Magnetic Resonance Im-
How to cite this paper: Ahmed, T., Parvin,
M.S., Haque, M.R. and Uddin, M.S.
(2020
)
Lung Cancer Detection Using CT Image
Based on 3D Convolutional Neural Ne
t-
work
.
Journal of Computer and Comm
u-
nications
,
8
, 35-42.
https://doi.org/10.4236/jcc.2020.83004
Received:
January 20, 2020
Accepted:
March 2, 2020
Published:
March 5, 2020
Copyright © 20
20 by author(s) and
Scientific
Research Publishing Inc.
This work is
licensed under the Creative
Commons Attribution International
License (CC BY
4.0).
http://creativecommons.org/licenses/by/4.0/
Open Access
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