PREPROCESSING PADA SEGMENTASI CITRA PARU-PARU DAN JANTUNG MENGGUNAKAN ANISOTROPIC DIFFUSION FILTER
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Authors:
I Made Oka Widyantara, A. T. A Prawira Kusuma, N. M. A. E. Dewi Wirastuti
Abstract:
“This paper propose a preprocessing techniques in lung segmentation scheme using Anisotropic Diffusion filters. The aim is to improve the accuracy, sensitivity and specificity results of segmentation. This method was chosen because it has the ability to detect the edge, namely in doing smoothing, this method can obscure noise, while maintaining the edges of objects in the image. Characteristics such as this is needed to process medical image filter, where the boundary between the organ and the background is not so clear. The segmentation process is done by K-means Clustering and Active Contour to segment the lungs. Segmentation results were validated using the Receiver Operating Characteristic (ROC) showed an increased accuracy, sensitivity and specificity, when compared with the results of segmentation in the previous paper, in which the preprocessing method used is Gaussian Lowpass filter.”
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PDF:
https://jurnal.harianregional.com/jte/full-18565
Published
2015-12-29
How To Cite
WIDYANTARA, I Made Oka; KUSUMA, A. T. A Prawira; WIRASTUTI, N. M. A. E. Dewi. PREPROCESSING PADA SEGMENTASI CITRA PARU-PARU DAN JANTUNG MENGGUNAKAN ANISOTROPIC DIFFUSION FILTER.Majalah Ilmiah Teknologi Elektro, [S.l.], v. 14, n. 2, p. 6-10, dec. 2015. ISSN 2503-2372. Available at: https://jurnal.harianregional.com/jte/id-18565. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MITE.2015.v14i02p02.
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Issue
Vol 14 No 2 (2015): (July - December) Majalah Ilmiah Teknologi Elektro
Section
Articles
Copyright
This work is licensed under a Creative Commons Attribution 4.0 International License
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