Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images

Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images

This study presents an approach to optimize cervical cancer classification using Support Vector Machines (SVM) and an improved Genetic Algorithm (GA) on Pap smear images. The proposed methodology involves preprocessing the images, extracting relevant features, and employing a genetic algorithm for f...

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Bibliographic Details
Main Authors: S. Umamaheswari, Y. Birnica, J. Boobalan, V. S. Akshaya
Format: Article
Language:English
Published: Vladimir Andrunachievici Institute of Mathematics and Computer Science 2024-04-01
Series:Computer Science Journal of Moldova
Subjects:
svm
pap smear images
cervical cancer
ga
healthcare
Online Access:http://www.math.md/files/csjm/v32-n1/v32-n1-(pp61-83).pdf

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