UGC Approved Journal no 63975(19)

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

Volume 2 Issue 3
March-2015
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1503077


Registration ID:
150237

Page Number

785-787

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Title

Automated detection and diagnosis from lungs CT scan images

Abstract

Early detection of lung cancer is very important for successful treatment. Diagnosis is mostly based on CT images. early symptoms of the diseases,appearing in patients’ lungs We are aiming at computerizing these selections. lung cancer images and its database in basic three stages to achieve more quality and accuracy in our experimental results: pre-processingstage(enhancement,smoothing,segmentation),feature Extraction(morphological) stage andLung cancer cell identification.

Key Words

CT, Lung cancer, enhancement, segmentation, morphological

Cite This Article

"Automated detection and diagnosis from lungs CT scan images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 3, page no.785-787, March-2015, Available :http://www.jetir.org/papers/JETIR1503077.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

"Automated detection and diagnosis from lungs CT scan images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 3, page no. pp785-787, March-2015, Available at : http://www.jetir.org/papers/JETIR1503077.pdf

Publication Details

Published Paper ID: JETIR1503077
Registration ID: 150237
Published In: Volume 2 | Issue 3 | Year March-2015
DOI (Digital Object Identifier):
Page No: 785-787
Country: Ahmedabad, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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