Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi

The implementation of nodule shape characteristics is one of the parameters used in determining breast cancer malignancy. Mathematical calculations are used as a second decision to strengthen radiologists in determining breast cancer malignancy using ultrasound images (USG). The method used in this...

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Autores principales: Hesti Khuzaimah Nurul Yusufiyah, Juan Pandu Gya Nur Rochman
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Lenguaje:EN
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Publicado: Universitas Islam Negeri Walisongo Semarang 2021
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Acceso en línea:https://doaj.org/article/91df4a389ca84a1391dc97c1a2f0e42d
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spelling oai:doaj.org-article:91df4a389ca84a1391dc97c1a2f0e42d2021-11-18T05:41:10ZEfektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi2685-61902714-774610.21580/perj.2021.3.1.6667https://doaj.org/article/91df4a389ca84a1391dc97c1a2f0e42d2021-02-01T00:00:00Zhttps://journal.walisongo.ac.id/index.php/perj/article/view/6667https://doaj.org/toc/2685-6190https://doaj.org/toc/2714-7746The implementation of nodule shape characteristics is one of the parameters used in determining breast cancer malignancy. Mathematical calculations are used as a second decision to strengthen radiologists in determining breast cancer malignancy using ultrasound images (USG). The method used in this research is to filter ultrasound images that contain speckle noise, then continue the segmentation process, extracting shape features, selecting shape features, and classifying them. The feature selection process using Correlated based Feature Selection (CFS) is used to select the dominant shape features in the image. The classification results obtained show that the results of feature selection using CFS can improve the results of image accuracy, sensitivity and specificity, so as to be able to better distinguish the characteristic shape of the cancer nodule.Hesti Khuzaimah Nurul YusufiyahJuan Pandu Gya Nur RochmanUniversitas Islam Negeri Walisongo Semarangarticleultrasoundbreast cancercfsnodulesPhysicsQC1-999ENIDPhysics Education Research Journal, Vol 3, Iss 1, Pp 11-18 (2021)
institution DOAJ
collection DOAJ
language EN
ID
topic ultrasound
breast cancer
cfs
nodules
Physics
QC1-999
spellingShingle ultrasound
breast cancer
cfs
nodules
Physics
QC1-999
Hesti Khuzaimah Nurul Yusufiyah
Juan Pandu Gya Nur Rochman
Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi
description The implementation of nodule shape characteristics is one of the parameters used in determining breast cancer malignancy. Mathematical calculations are used as a second decision to strengthen radiologists in determining breast cancer malignancy using ultrasound images (USG). The method used in this research is to filter ultrasound images that contain speckle noise, then continue the segmentation process, extracting shape features, selecting shape features, and classifying them. The feature selection process using Correlated based Feature Selection (CFS) is used to select the dominant shape features in the image. The classification results obtained show that the results of feature selection using CFS can improve the results of image accuracy, sensitivity and specificity, so as to be able to better distinguish the characteristic shape of the cancer nodule.
format article
author Hesti Khuzaimah Nurul Yusufiyah
Juan Pandu Gya Nur Rochman
author_facet Hesti Khuzaimah Nurul Yusufiyah
Juan Pandu Gya Nur Rochman
author_sort Hesti Khuzaimah Nurul Yusufiyah
title Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi
title_short Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi
title_full Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi
title_fullStr Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi
title_full_unstemmed Efektivitas Penggunaan Seleksi Ciri CFS pada Klasifikasi Ciri Bentuk Nodul Kanker Payudara dengan Citra Ultrasonografi
title_sort efektivitas penggunaan seleksi ciri cfs pada klasifikasi ciri bentuk nodul kanker payudara dengan citra ultrasonografi
publisher Universitas Islam Negeri Walisongo Semarang
publishDate 2021
url https://doaj.org/article/91df4a389ca84a1391dc97c1a2f0e42d
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AT juanpandugyanurrochman efektivitaspenggunaanseleksiciricfspadaklasifikasiciribentuknodulkankerpayudaradengancitraultrasonografi
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