ISSN 2394-5125
 

Research Article 


CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER

D.Jacob Mathew, Dr.Shivram.

Abstract
The development of irregular tissue in a particular place is called tumor. The human body contains large volume of
cells. The normal procedure is that the old cells are replaced by new cells. But in rare phenomena normal function of this
procedure is changed due to some unwanted growth of cells. The tumor is identified in earlier stage by using image
processing techniques. It is very challenging work for current researchers. For detecting tumor in cervical, the MRI images
are given as input. The main advantage of this work other processes is that it uses both K-means clustering and SVM
classifier which results in high accuracy to find the position, size and the accurate percentage of the affected area. In this
paper an important SVM classification and neural network classifier techniques are used to identify the cervical tumor in the
beginning stages. If the tumor is being detected in early stages it is mostly curable. The main benefit of this concept is
detecting the position of the tumor and to easily calculate the size of the tumor

Key words: Cervical Tumor, MRI Image, Segmentation, Filtering.


 
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How to Cite this Article
Pubmed Style

Mathew D, Dr.Shivram . CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. JCR. 2020; 7(15): 2691-2694. doi:10.31838/jcr.07.15.366


Web Style

Mathew D, Dr.Shivram . CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. http://www.jcreview.com/?mno=117350 [Access: May 31, 2021]. doi:10.31838/jcr.07.15.366


AMA (American Medical Association) Style

Mathew D, Dr.Shivram . CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. JCR. 2020; 7(15): 2691-2694. doi:10.31838/jcr.07.15.366



Vancouver/ICMJE Style

Mathew D, Dr.Shivram . CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. JCR. (2020), [cited May 31, 2021]; 7(15): 2691-2694. doi:10.31838/jcr.07.15.366



Harvard Style

Mathew, D. & Dr.Shivram, . (2020) CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. JCR, 7 (15), 2691-2694. doi:10.31838/jcr.07.15.366



Turabian Style

Mathew, D.Jacob, and Dr.Shivram. 2020. CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. Journal of Critical Reviews, 7 (15), 2691-2694. doi:10.31838/jcr.07.15.366



Chicago Style

Mathew, D.Jacob, and Dr.Shivram. "CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER." Journal of Critical Reviews 7 (2020), 2691-2694. doi:10.31838/jcr.07.15.366



MLA (The Modern Language Association) Style

Mathew, D.Jacob, and Dr.Shivram. "CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER." Journal of Critical Reviews 7.15 (2020), 2691-2694. Print. doi:10.31838/jcr.07.15.366



APA (American Psychological Association) Style

Mathew, D. & Dr.Shivram, . (2020) CERVICAL TUMOR DETECTION AND PROLIFERATIVE IDENTIFICATION USING K-MEANS CLUSTERING AND SVM CLASSIFIER. Journal of Critical Reviews, 7 (15), 2691-2694. doi:10.31838/jcr.07.15.366