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SEGMENTASI CITRA CT SCAN LUNG MENGGUNAKAN DETEKSI TEPI SOBEL DAN METODE DISTANCE REGULARIZED LEVEL SET EVOLUTION (DRLSE)

Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika

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Title SEGMENTASI CITRA CT SCAN LUNG MENGGUNAKAN DETEKSI TEPI SOBEL DAN METODE DISTANCE REGULARIZED LEVEL SET EVOLUTION (DRLSE)
 
Creator —
Lilis Trisnawati
Lukman Hakim
 
Description The lung is one of the organs in the respiratory system that serves as a place to exchange oxygen with carbon dioxide in the blood. Disturbance the lung causes the patient difficult breathing, difficult to activity, lack of oxygen in fact if not quickly detected can cause death. To determine the symptoms of a patient's illness is generally carried out laboratory  tests,  where  these  tests  are  quite  expensive  and  sometimes  cause injuries and the result was sometimes long to be known x-ray images, this causes many people who indicated suffering from lung disease. The previous method capable of performing image segmentation ct scan lung difficult or not clarified to determination of edge detection and it still takes a long time for processing on ct scan lung image. Therefore, in this study to implement segmentation on ct scan lung image by using edge detection sobel and Distance Regularized Level Set Evolution Method to accelerate the segmentation of medical images. This method is capable of performing image segmentation ct scan lung with average an accuracy of 95.08% and average the Area Under the Curve (AUC) on relaive operating characteristic curve (ROC) amounted to 90.66%
 
Publisher Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan
 
Date 2019-11-06
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1670
10.35891/explorit.v10i1.1670
 
Source 2549-354X
2086-3489
10.35891/explorit.v10i1
 
Language eng
 
Relation https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1670/1327
 
Rights Copyright (c) 2018 Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika
https://creativecommons.org/licenses/by/4.0