An Analysis on Cervical Cancer Classification of Medical Digital Images Using Various Classifiers

Authors(4) :-Dr. M. Robinson Joel, G. Vishali, R. Ponlatha, Syed Sharmila Begum

In this analysis, Cervical cancer took over the place four in the world level and it is the most prevalent cancer that is affecting women. If the cancer is detected in the earlier stages it can be cured and treated successfully. And it is also the leading gynecological malignancy disease worldwide. This is a paper which presents the classification techniques of cervical cancer. And also, this paper shows the advanced feature solution approaches of cervical cancer. The dimensionality reduction technique is used for the improvement of the classifier with great accuracy. There are two categories of feature selection and they are filters and wrappers. By using all these analytic techniques, we can classify cancer and its approaches. Therefore, this paper classifies the approaches of Cervical cancer.

Authors and Affiliations

Dr. M. Robinson Joel
Department of CSE, SMK Fomra Institute of Technology, India
G. Vishali
Department of CSE, SMK Fomra Institute of Technology, India
R. Ponlatha
Department of CSE, SMK Fomra Institute of Technology, India
Syed Sharmila Begum
Department of CSE, SMK Fomra Institute of Technology, India

Cervical Cancer, Gynecological, Wrappers

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Publication Details

Published in : Volume 6 | Issue 5 | September-October 2019
Date of Publication : 2019-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 98-102
Manuscript Number : IJSRSET196515
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Dr. M. Robinson Joel, G. Vishali, R. Ponlatha, Syed Sharmila Begum, " An Analysis on Cervical Cancer Classification of Medical Digital Images Using Various Classifiers , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 5, pp.98-102, September-October-2019. Available at doi : https://doi.org/10.32628/IJSRSET196515      Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET196515

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