Author(s): Arpita Ghosh, Shalu Achamma Sam, A. Nagaraja Rao

Email(s): arpig93@gmail.com

DOI: 10.5958/0974-360X.2018.00265.2   

Address: Arpita Ghosh1, Shalu Achamma Sam1, A. Nagaraja Rao2
1M.Tech CSE, SCOPE, VIT University, Vellore, Tamil Nadu.
2Associate Professor and HOD, SCOPE, VIT University, Vellore, Tamil Nadu.
*Corresponding Author

Published In:   Volume - 11,      Issue - 4,     Year - 2018


ABSTRACT:
Cells mostly keep on changing on various kinds of medical factors. At initial stages, the identification of any abnormality or cancer in cell is more important. The increasing population somehow raised awareness for maintaining better health. Because of degrading quality of food, smoking habits and most importantly pollution of environment are the cause of cell damages or abnormalities of tissues among the people. So, for providing better medical treatment for abnormal cell diseases, it is better to identify the affected cell at its initial stage. For efficient analysis, it is also important to detect the affected cells at an initial stage. Thus, the patients will get the best solution for the diseases. Previously, researchers used various methods as for enhancing images such as Fast Fourier Transform method, Binarization for extracting images etc. Here, we are going to use watershed processing for segmentation which can easily detect abnormalities in cell quickly.


Cite this article:
Arpita Ghosh, Shalu Achamma Sam, A. Nagaraja Rao. Abnormal Lung Cells Detection using Watershed Algorithm. Research J. Pharm. and Tech 2018; 11(4): 1421-1424. doi: 10.5958/0974-360X.2018.00265.2


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

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