UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1908D15


Registration ID:
304229

Page Number

943-949

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Title

Lung Cancer Detection from Medical Images via Quadratic-SVM Classifier

Abstract

Cancer is a notable global health epidemic with death rates rising regularly. In the United States and internationally lung cancer is the leading cause of cancer mortality between women & men. About 90% of lung cancer cases are caused by smoke and tobacco use. Further factors though like asbestos, radon gas, exposures to air pollution, & chronic infections can contribute to lung cancer. Moreover, some inherited and acquired causes of lung cancer vulnerability were proposed. Medicine imaging means the procedure and method by which the inner part of the body is represented for medical study & intervention, and the role of certain bodies or tissues is represented visually (physiology). Here is the proposal for medical image detection by a computer-aided method for Lung Cancer with the aid of a support vector machine and image processing on CT scanning images. A common cause of death for people around the world tends to be lung cancer. The only thing that could boost people's chance of survival appears to be the early diagnosis of lung cancer. Here, we presented an SVM classifier with a Quardaractiv function. Also, a high pass filter and median filter have used to filter the images. These processes followed the reconstruction of the image then morph the given images and finally segment the images. Here, we compare different-different SVM classifier functions with the proposed SVM kernel Function. And, we obtained fruitful results in terms of accuracy, sensitivity, and specificity

Key Words

Image processing, Cancer Detection, Lung Cancer, Medical Image, high-pass filter, Morphological Filtering, Morphological Opening & Closing, median filter, SVM

Cite This Article

"Lung Cancer Detection from Medical Images via Quadratic-SVM Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.943-949, June 2019, Available :http://www.jetir.org/papers/JETIR1908D15.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Lung Cancer Detection from Medical Images via Quadratic-SVM Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp943-949, June 2019, Available at : http://www.jetir.org/papers/JETIR1908D15.pdf

Publication Details

Published Paper ID: JETIR1908D15
Registration ID: 304229
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 943-949
Country: Gwalior, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162


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