UGC Approved Journal no 63975

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

Volume 2 Issue 12
December-2015
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1512019


Registration ID:
150917

Page Number

113-116

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Title

A Survey of Lung Tumor Detection on CT Images

Abstract

As of late, image preparing systems are generally utilized as a part of a few medicinal zones for image change in prior identification and treatment stages, where the time element is critical to find the anomaly issues in target images, particularly in different growth tumors, for example, lung tumor, breast cancer, and so on. Lung tumor is the most intense kind of malignancy among every one of the diseases with less survival rate. It is exceptionally hard to examine the growth at its initial stage. The most of work done on the Computed Tomography (CT) scan image because of good clarity and low noise. In this paper, different procedures have been talked about for the location of lung cancer and to classify whether it is benign or malignant with the help of ANN (Artificial Neural Network).

Key Words

Computer Tomography (CT), Image Segmentation, Lunge Tumor

Cite This Article

"A Survey of Lung Tumor Detection on CT Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.113-116, December-2015, Available :http://www.jetir.org/papers/JETIR1512019.pdf

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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

"A Survey of Lung Tumor Detection on CT Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp113-116, December-2015, Available at : http://www.jetir.org/papers/JETIR1512019.pdf

Publication Details

Published Paper ID: JETIR1512019
Registration ID: 150917
Published In: Volume 2 | Issue 12 | Year December-2015
DOI (Digital Object Identifier):
Page No: 113-116
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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