Open AccessAn Analysis on Cervical Cancer Classification of Medical Digital Images Using Various Classifiers
Author(s) -
M. Robinson Joel,
G. Vishali,
R. Ponlatha,
Syed Sharmila Begum
Publication year - 2019
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset196515
Subject(s) - cervical cancer , classifier (uml) , feature selection , artificial intelligence , dimensionality reduction , pattern recognition (psychology) , malignancy , cancer , computer science , medicine , machine learning , pathology
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.