@inproceedings{dd57d97ad16e414f8fdf89ab8cdc3099,
title = "Comparative analysis of median and Laplacian filter to detect edges of non-contrast cardiac CT image",
abstract = "The incidence of heart disease is increasing every year. One of the preventive actions is through early detection of the disease to take further action. Computer-Aided Diagnosis (CAD) helps doctors and cardiologists detect heart abnormalities seen in non-contrast cardiac CT images faster than manual detection. This study aims to detect the edges of non-contrast cardiac CT images. The method used is the Median and Laplacian filter algorithm using Matlab. The result shows that there is an automatic edge detection of non-contrast cardiac CT images. The conclusion obtained by the Laplacian filter with -8 kernel at its centre is clearer to detect edges of non-contrast cardiac CT images than the Median and Laplacian filters with -4 kernel at the centre. The study results are useful for medical image processing to facilitate the subsequent image analysis stage. ",
author = "Sari, {Nur Endah} and Prawito Prajitno and Soejoko, {Djarwani Soeharso}",
note = "Publisher Copyright: {\textcopyright} 2022 Author(s).; 2021 International Conference on Science and Applied Science, ICSAS 2021 ; Conference date: 06-04-2021 Through 06-04-2021",
year = "2022",
month = mar,
day = "24",
doi = "10.1063/5.0072459",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Budi Purnama and Nugraha, {Dewanta Arya} and A. Suparmi",
booktitle = "International Conference on Science and Applied Science, ICSAS 2021",
address = "United States",
}