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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006050

Page Number

353-358

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Title

Lung Cancer Nodule Detection

ISSN

2349-5162

Cite This Article

"Lung Cancer Nodule Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.353-358, June-2020, Available :http://www.jetir.org/papers/JETIR2006050.pdf

Abstract

Lung cancer is a third leading type of cancer that may cause death of a person. Early detection and diagnosis of the disease is essential to prolong the life of the patients affected with this scourge. For determining the cancer cells from medical images, various image processing and soft computing techniques can be used. CT-images are most commonly used for image processing. CT-image has properties like high resolution, better clarity, low noise and low distortion and etc. It is the best technique of image for detection of small nodules. This paper focuses on different techniques that have been proposed to provide detection of lung cancer nodules.

Key Words

Cancer, Nodule Detection, Lung Nodule, CT Images, Preprocessing, Segmentation

Cite This Article

"Lung Cancer Nodule Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp353-358, June-2020, Available at : http://www.jetir.org/papers/JETIR2006050.pdf

Publication Details

Published Paper ID: JETIR2006050
Registration ID: 231576
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 353-358
ISSN Number: 2349-5162

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Cite This Article

"Lung Cancer Nodule Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp353-358, June-2020, Available at : http://www.jetir.org/papers/JETIR2006050.pdf




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