Classification Of Cervical Cancer Stage From Pap Smear Tests

This research focuses on the field of biomedical engineering in the works of Pap smear image analysis. Pap smear test is an efficient procedure in detecting cases of cervical cancer especially in early stages. However, most of these tests are done manually by medical personnel, which remains a te...

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Main Author: Sendal, Ken Irok
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19419 /
Published: IRC 2019
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/19419/1/KenIrokSendal_Final%20Dissertation.pdf
http://utpedia.utp.edu.my/19419/
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spelling utp-utpedia.194192019-07-11T19:30:56Z http://utpedia.utp.edu.my/19419/ Classification Of Cervical Cancer Stage From Pap Smear Tests Sendal, Ken Irok TK Electrical engineering. Electronics Nuclear engineering This research focuses on the field of biomedical engineering in the works of Pap smear image analysis. Pap smear test is an efficient procedure in detecting cases of cervical cancer especially in early stages. However, most of these tests are done manually by medical personnel, which remains a tedious task to carry out on a daily basis due to the occurrence of human and technical error. The purpose of this research is to identify an effective algorithm to classify the presence of abnormalities in the given Pap smear samples. The proposed approach will implement stages of image pre-processing, feature selection and extraction as well as classification of classes. During image preprocessing, the image will be converted to greyscale before improving their contrast level for better analysis. Feature extraction is then used to select the appropriate features that contribute most to the predicted variable from the image. Then, classification methods for the classification of classes in these cells such as K-Nearest Neighborhood (KNN) and Support Vector Machine (SVM) were explored. The performance of the proposed classification algorithm gave satisfactory results of accuracy, 91.9% for KNN classification and 95.0% for SVM classification. IRC 2019-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19419/1/KenIrokSendal_Final%20Dissertation.pdf Sendal, Ken Irok (2019) Classification Of Cervical Cancer Stage From Pap Smear Tests. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sendal, Ken Irok
Classification Of Cervical Cancer Stage From Pap Smear Tests
description This research focuses on the field of biomedical engineering in the works of Pap smear image analysis. Pap smear test is an efficient procedure in detecting cases of cervical cancer especially in early stages. However, most of these tests are done manually by medical personnel, which remains a tedious task to carry out on a daily basis due to the occurrence of human and technical error. The purpose of this research is to identify an effective algorithm to classify the presence of abnormalities in the given Pap smear samples. The proposed approach will implement stages of image pre-processing, feature selection and extraction as well as classification of classes. During image preprocessing, the image will be converted to greyscale before improving their contrast level for better analysis. Feature extraction is then used to select the appropriate features that contribute most to the predicted variable from the image. Then, classification methods for the classification of classes in these cells such as K-Nearest Neighborhood (KNN) and Support Vector Machine (SVM) were explored. The performance of the proposed classification algorithm gave satisfactory results of accuracy, 91.9% for KNN classification and 95.0% for SVM classification.
format Final Year Project
author Sendal, Ken Irok
author_sort Sendal, Ken Irok
title Classification Of Cervical Cancer Stage From Pap Smear Tests
title_short Classification Of Cervical Cancer Stage From Pap Smear Tests
title_full Classification Of Cervical Cancer Stage From Pap Smear Tests
title_fullStr Classification Of Cervical Cancer Stage From Pap Smear Tests
title_full_unstemmed Classification Of Cervical Cancer Stage From Pap Smear Tests
title_sort classification of cervical cancer stage from pap smear tests
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/19419/1/KenIrokSendal_Final%20Dissertation.pdf
http://utpedia.utp.edu.my/19419/
_version_ 1741195490752462848
score 11.62408

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