Segmentasi dan pengorakan citra mikroskopik Pap smear menggunakan algoritme K-means dan J48

Jurnal Teknologi dan Sistem Komputer

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Title Segmentasi dan pengorakan citra mikroskopik Pap smear menggunakan algoritme K-means dan J48
Segmentation and analysis of Pap smear microscopic images using the K-means and J48 algorithms
 
Creator Hadianti, Sri
Riana, Dwiza
 
Subject k-means; GLCM; J48; pap smear; segmentasi
k-means; GLCM; J48; pap smear; segmentation
 
Description Pap smear merupakan salah satu metode untuk melakukan deteksi dini dari kanker leher rahim. Kajian ini membahas metode segmentasi dan analisis citra sel Pap smear menggunakan algoritme K-means agar sel sitoplasma, sel nukleus, dan sel radang dapat tersegmentasi secara otomatis. Hasil analisis fitur dari citra sel sitoplasma, nukleus, dan radang tersebut diklasifikasikan menggunakan algoritme J48 dengan data latih sebanyak 37 citra dan menghasilkan akurasi sebesar 94,594 %, presisi 95 %, dan sensitivitas sebesar 94,6 %. Pengujian klasifikasi pada data uji sebanyak 24 citra menghasilkan akurasi sebesar 91,6 %, presisi sebesar 92,5 % dan sensitivitas sebesar 91,7 %.
A Pap smear is used to early detection cervical cancer. This study proposes the segmentation and analysis method of Pap smear cells images using the K-means algorithm so that cytoplasmic cells, nuclear cells, and inflammatory cells can be segmented automatically. The results of the feature analysis from the cytoplasmic, nuclear, and inflammatory cell images were classified using the J48 algorithm with 37 training data. The training resulted in an accuracy of 94.594 %, precision of 95 %, and sensitivity of 94.6 %. The classification of 24 testing images resulted in an accuracy of 91.6%, a precision of 92.5 %, and a sensitivity of 91.7 %.
 
Publisher Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://jtsiskom.undip.ac.id/article/view/13943
10.14710/jtsiskom.2021.13943
 
Source Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 2, Year 2021 (April 2021); 113-119
Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 2, Year 2021 (April 2021); 113-119
2338-0403
 
Language ind
 
Relation https://jtsiskom.undip.ac.id/article/view/13943/12687
https://jtsiskom.undip.ac.id/article/downloadSuppFile/13943/652
 
Rights Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
https://creativecommons.org/licenses/by-sa/4.0
 

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