NDLI: Novel computer-aided diagnosis of lung cancer using bag of visual words to achieve high accuracy rates

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The Journal of Engineering

Novel computer-aided diagnosis of lung cancer using bag of visual words to achieve high accuracy rates

Content Provider	IET Digital Library
Author	Chellan, Thinkal Dayana Chellappan, Agees Kumar
Abstract	Lung Cancer is considered as one of the deadliest diseases among other lung disorders. Several researchers studied and investigated about classifying the lung cancer images and their approaches do not provide better accuracy. The objective of this paper is mainly focused on detecting the cancerous region and classifying the lung cancer CT images. The proposed work plays a significant role in detecting the types of cancerous region in the lung CT images and helps radiologists to enhance the diagnosis in medical care of patients. It's also a less time consuming process in classifying the lung CT images. Bag of Visual Words (BoVW) is a novel classification technique which is applied on lung CT images to classify the cluster of begnin or malignant lung cancer in different steps. With the help of MATLAB 2016, the simulation results are obtained. The achieved accuracy of BoVW classifier is 96% which is higher than other classifiers applied on lung cancer CT images. This classifier highly reduces the computational complexity. This CAD system is very beneficial to radiologists and oncologists in cancer research centres or any cancer institutions. By applying other segmentation or novel classification techniques may improve the automatic diagnosis of lung cancer images.
Starting Page	1941
Ending Page	1946
Page Count	6
Volume Number	2018
e-ISSN	20513305
Issue Number	Issue 12, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2018/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5215
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-10-26
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Benign Lung Cancer Biology And Medical Computing Biomedical Imaging/measurement BoVW Classifier CAD Cancer Cancerous Cell Computer Vision And Image Processing Technique Computer-aided Diagnosis Computerised Tomography Diseases Image Classification Image Recognition Lung Lung Cancer CT Image Lung Cancer Image Lung CT Image Lung Disorders Malignant Lung Cancer Medical Image Processing Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Radiography And Computed Tomography Tomography Image Tumours Visual Words X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article

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