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Evaluation of Classifiers Performance in Cervical Cancer Detection

Rajpriya.R 1 , Saravanan.M.S 2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 1029-1035, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.10291035

Online published on Apr 30, 2019

Copyright © Rajpriya.R, Saravanan.M.S . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rajpriya.R, Saravanan.M.S, “Evaluation of Classifiers Performance in Cervical Cancer Detection,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.1029-1035, 2019.

MLA Style Citation: Rajpriya.R, Saravanan.M.S "Evaluation of Classifiers Performance in Cervical Cancer Detection." International Journal of Computer Sciences and Engineering 7.4 (2019): 1029-1035.

APA Style Citation: Rajpriya.R, Saravanan.M.S, (2019). Evaluation of Classifiers Performance in Cervical Cancer Detection. International Journal of Computer Sciences and Engineering, 7(4), 1029-1035.

BibTex Style Citation:
@article{_2019,
author = {Rajpriya.R, Saravanan.M.S},
title = {Evaluation of Classifiers Performance in Cervical Cancer Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {1029-1035},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4161},
doi = {https://doi.org/10.26438/ijcse/v7i4.10291035}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.10291035}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4161
TI - Evaluation of Classifiers Performance in Cervical Cancer Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Rajpriya.R, Saravanan.M.S
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 1029-1035
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Artificial Intelligence (AI) plays an important role in many medical diagnosis systems. AI techniques uses for classifying the normal and abnormal cells are present in the cervix in the region of uterus. The classification of cancerous and non-cancerous cervical cells is detected by using AI techniques which gives accurate results. Compare to manual screening techniques like Pap smear test, the AI techniques gives better results and less time consuming. This paper presents several classifiers are used to classifies the normal and abnormal cells of Pap smear images.

Key-Words / Index Term

Cervical cancer, Support Vector Machine, Discriminant analysis, Decision tree, K-nearest neighbor

References

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