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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Vladimir Andrunachievici Institute of Mathematics and Computer Science
2024-04-01
|
| Series: | Computer Science Journal of Moldova |
| Subjects: | |
| Online Access: | http://www.math.md/files/csjm/v32-n1/v32-n1-(pp61-83).pdf |
| _version_ | 1797213044725514240 |
|---|---|
| author | S. Umamaheswari Y. Birnica J. Boobalan V. S. Akshaya |
| author_facet | S. Umamaheswari Y. Birnica J. Boobalan V. S. Akshaya |
| author_sort | S. Umamaheswari |
| collection | DOAJ |
| description | 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 feature selection. An SVM classifier is trained using the selected features and optimized using the genetic algorithm. The performance of the optimized model is evaluated, demonstrating improved accuracy and efficiency in cervical cancer classification. The findings hold the potential for assisting healthcare professionals in early cervical cancer diagnosis based on Pap smear images. |
| first_indexed | 2024-04-24T10:52:01Z |
| format | Article |
| id | doaj.art-5870943c89d44218a288fe53130ee368 |
| institution | Directory Open Access Journal |
| issn | 1561-4042 2587-4330 |
| language | English |
| last_indexed | 2024-04-24T10:52:01Z |
| publishDate | 2024-04-01 |
| publisher | Vladimir Andrunachievici Institute of Mathematics and Computer Science |
| record_format | Article |
| series | Computer Science Journal of Moldova |
| spelling | doaj.art-5870943c89d44218a288fe53130ee3682024-04-12T09:59:32ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer Science Journal of Moldova1561-40422587-43302024-04-01321(94)6183https://doi.org/10.56415/csjm.v32.05Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear ImagesS. Umamaheswari0https://orcid.org/0000-0001-6590-2521Y. Birnica1J. Boobalan2https://orcid.org/0000-0002-9655-5435V. S. Akshaya3https://orcid.org/0000-0001-7120-3006Associate Professor, Dept.of ECE, Kumaraguru College of Technology Coimbatore, Tamilnadu, IndiaDept. Dept.of ECE, Kumaraguru College of Technology Coimbatore, Tamilnadu, IndiaAssistant Professor, Dept.of ECE, Kumaraguru College of Technology Coimbatore, Tamilnadu, IndiaProfessor, Dept. of. CSE, Sri Eshwar College of Engineering Coimbatore, Tamilnadu, IndiaThis 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 feature selection. An SVM classifier is trained using the selected features and optimized using the genetic algorithm. The performance of the optimized model is evaluated, demonstrating improved accuracy and efficiency in cervical cancer classification. The findings hold the potential for assisting healthcare professionals in early cervical cancer diagnosis based on Pap smear images.http://www.math.md/files/csjm/v32-n1/v32-n1-(pp61-83).pdfsvmpap smear imagescervical cancergahealthcare |
| spellingShingle | S. Umamaheswari Y. Birnica J. Boobalan V. S. Akshaya Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images Computer Science Journal of Moldova svm pap smear images cervical cancer ga healthcare |
| title | Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images |
| title_full | Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images |
| title_fullStr | Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images |
| title_full_unstemmed | Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images |
| title_short | Optimizing Cervical Cancer Classification with SVM and Improved Genetic Algorithm on Pap Smear Images |
| title_sort | optimizing cervical cancer classification with svm and improved genetic algorithm on pap smear images |
| topic | svm pap smear images cervical cancer ga healthcare |
| url | http://www.math.md/files/csjm/v32-n1/v32-n1-(pp61-83).pdf |
| work_keys_str_mv | AT sumamaheswari optimizingcervicalcancerclassificationwithsvmandimprovedgeneticalgorithmonpapsmearimages AT ybirnica optimizingcervicalcancerclassificationwithsvmandimprovedgeneticalgorithmonpapsmearimages AT jboobalan optimizingcervicalcancerclassificationwithsvmandimprovedgeneticalgorithmonpapsmearimages AT vsakshaya optimizingcervicalcancerclassificationwithsvmandimprovedgeneticalgorithmonpapsmearimages |