Author(s): R. Pandian, Lalitha Kumari

Email(s): rpandianme@rediffmail.com

DOI: 10.5958/0974-360X.2016.00471.6   

Address: R. Pandian , Dr. Lalitha Kumari
Department of Electronics and Instrumentation, Sathyabama University, Chennai – 600 119,Tamil nadu, India
*Corresponding Author

Published In:   Volume - 9,      Issue - 12,     Year - 2016


ABSTRACT:
In this paper, the characterization of Computer Aided Tomography image is proposed to identify the cancer. Even though, many image processing algorithms were proposed recent years, a simple and novel methodology is proposed in this work. Manual interpretation of the CT image is overcome in this proposed work. Various features are extracted from the CT image of normal lung and malignant lung. Variations in the values are taken into account and the detection is automated.


Cite this article:
R. Pandian , Lalitha Kumari. C T Image for Lung Cancer Identification. Research J. Pharm. and Tech 2016; 9(12):2359-2361. doi: 10.5958/0974-360X.2016.00471.6

Cite(Electronic):
R. Pandian , Lalitha Kumari. C T Image for Lung Cancer Identification. Research J. Pharm. and Tech 2016; 9(12):2359-2361. doi: 10.5958/0974-360X.2016.00471.6   Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2016-9-12-49


Recomonded Articles:

Research Journal of Pharmacy and Technology (RJPT) is an international, peer-reviewed, multidisciplinary journal.... Read more >>>

RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

1.3
2021CiteScore
 
56th percentile
Powered by  Scopus


SCImago Journal & Country Rank

Journal Policies & Information


Recent Articles




Tags


Not Available