Application of support vector based methods for cervical cancer cell classification

© 2015 IEEE. Cervical cancer is known to be one of the deadly diseases in women. On the other hand, it is one of the most curable cancer if detected early. A well-known method in screening cervical cancer is by performing the Papanicoulaou test or Pap test. However, the screening process is laboriou...

Full description

Saved in:
Bibliographic Details
Main Authors: Teeyapan K., Theera-Umpon N., Auephanwiriyakul S.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978910916&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41873
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-41873
record_format dspace
spelling th-cmuir.6653943832-418732017-09-28T04:23:54Z Application of support vector based methods for cervical cancer cell classification Teeyapan K. Theera-Umpon N. Auephanwiriyakul S. © 2015 IEEE. Cervical cancer is known to be one of the deadly diseases in women. On the other hand, it is one of the most curable cancer if detected early. A well-known method in screening cervical cancer is by performing the Papanicoulaou test or Pap test. However, the screening process is laborious since it requires visual inspection of individual cells by experts. A large number of cases processed by a limited number of experts can lead to misclassification due to human errors. To solve this problem, using an automatic classification method may help improve the screening process. In this paper, we explore various support vector based classifiers, namely support vector machine (SVM), twin support vector machine (TWSVM), and twin-hypersphere support vector machine (THSVM), and test their performance on cervical cancer cell classification in 2-class and 4-class scenarios. The cervical cancer cell dataset named the LCH dataset used in this paper was collected and extracted from Lampang Cancer Hospital in Thailand. The experimental results show that TWSVM is preferable to SVM and THSVM in the cervical cancer cell classification. 2017-09-28T04:23:54Z 2017-09-28T04:23:54Z 2016-05-31 Conference Proceeding 2-s2.0-84978910916 10.1109/ICCSCE.2015.7482239 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978910916&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41873
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2015 IEEE. Cervical cancer is known to be one of the deadly diseases in women. On the other hand, it is one of the most curable cancer if detected early. A well-known method in screening cervical cancer is by performing the Papanicoulaou test or Pap test. However, the screening process is laborious since it requires visual inspection of individual cells by experts. A large number of cases processed by a limited number of experts can lead to misclassification due to human errors. To solve this problem, using an automatic classification method may help improve the screening process. In this paper, we explore various support vector based classifiers, namely support vector machine (SVM), twin support vector machine (TWSVM), and twin-hypersphere support vector machine (THSVM), and test their performance on cervical cancer cell classification in 2-class and 4-class scenarios. The cervical cancer cell dataset named the LCH dataset used in this paper was collected and extracted from Lampang Cancer Hospital in Thailand. The experimental results show that TWSVM is preferable to SVM and THSVM in the cervical cancer cell classification.
format Conference Proceeding
author Teeyapan K.
Theera-Umpon N.
Auephanwiriyakul S.
spellingShingle Teeyapan K.
Theera-Umpon N.
Auephanwiriyakul S.
Application of support vector based methods for cervical cancer cell classification
author_facet Teeyapan K.
Theera-Umpon N.
Auephanwiriyakul S.
author_sort Teeyapan K.
title Application of support vector based methods for cervical cancer cell classification
title_short Application of support vector based methods for cervical cancer cell classification
title_full Application of support vector based methods for cervical cancer cell classification
title_fullStr Application of support vector based methods for cervical cancer cell classification
title_full_unstemmed Application of support vector based methods for cervical cancer cell classification
title_sort application of support vector based methods for cervical cancer cell classification
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978910916&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41873
_version_ 1681422082821324800