Application of Spinal Disorders Detection on X-Ray Images Using Segmentation and K-Means Clustering
Main Article Content
Abstract
There are three types of spinal disorders, namely kyphosis, lordosis, and scoliosis. To find out spinal disorders, it is necessary to carry out X-rays from an early age. Spinal disorders are not only found in children but can be found in adolescents, adults, and the elderly. Along with the times, making information technology more sophisticated is the advancement of image processing technology. Image processing can help in the medical field to analyze X-ray results to diagnose internal disorders or diseases. This study makes an application for the detection of spinal disorders with several methods of image segmentation processes and using the k-means clustering algorithm on x-ray images of spinal disorders. This segmentation image processing stage requires five stages of processing including cropping, resizing, median filter, histogram equalization, thresholding, and binary edges, and k-means clustering process as a comparison. This application is expected to be useful in knowing the difference between spinal disorders of lordosis, kyphosis, and scoliosis
Downloads
Download data is not yet available.
Article Details
How to Cite
Khairul, M., Fauziah, F., & Fitri, I. (2022). Application of Spinal Disorders Detection on X-Ray Images Using Segmentation and K-Means Clustering. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 6(3), 402–410. https://doi.org/10.35870/jtik.v6i3.456
Section
Computer & Communication Science
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Hasmyati & Aprilo, I. 2014. Analisis Pengukuran Foremetric Dan Myoline Atlet Pplm Universitas Negeri Makassar. Cakrawala Pendidikan, Juni 2014, Th. XXXIII, No. 2.
Helmi, Z.N. 2013. "Buku Ajar Gangguan Muskuloskeletal". Jakarta: Salemba Medika.
Suryabi, C.L. 2015. "Perancangan Media Pembelajaran Interaktif Tentang Sikap Tubuh Yang Benar". DKV, Fakultas Seni dan Desain, Universitas Kristen Petra.
Suratun, dkk. 2008. "Klien Gangguan Muskuloskeletak: Seri Asuhan Keperawatan". Jakarta: EGC
Suryani, Dwi. 2018. "Analisis Gelombang Elektromagnetik (Sinar-X) Dalam Kesehatan Perspektif Al-Qur’an Dan Sains". PROSIDING Seminar Nasional Pendidikan Fisika FITK, UNSIQ ISSN 2615-2789 Vol. 1, No. 1.
Palimbong, E.Y. 2018. â€Deteksi Tbc Paru Dari Citra Foto Rontgen Menggunakan Jaringan Syaraf Tiruan Backpropagationâ€. Teknik Elektro Fakultas Teknik Universitas Semarang.
P, D.A., Arista, V., dkk. 2021. â€Segementasi Citra Digital Ikan Menggunakan Metode Thresholding Dan K-Meansâ€.
Priyawati, D., Soesanti, Indah., & Hidayah, I. 2015. â€Kajian Pustaka Metode Segmentasi Citra Pada Mri Tumor Otakâ€. Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada.
Atina. 2017. Segmentasi Citra Paru Menggunakan Metode k-Means Clustering. Universitas PGRI Palembang.
Torkis Nasution. 2012. â€Segmentasi Citra Digital Berbasis Clustering Menggunakan Deteksi Tepi Sobelâ€. Program Studi Teknik Informatika, STMIK-AMIK Riau.
Helmi, Z.N. 2013. "Buku Ajar Gangguan Muskuloskeletal". Jakarta: Salemba Medika.
Suryabi, C.L. 2015. "Perancangan Media Pembelajaran Interaktif Tentang Sikap Tubuh Yang Benar". DKV, Fakultas Seni dan Desain, Universitas Kristen Petra.
Suratun, dkk. 2008. "Klien Gangguan Muskuloskeletak: Seri Asuhan Keperawatan". Jakarta: EGC
Suryani, Dwi. 2018. "Analisis Gelombang Elektromagnetik (Sinar-X) Dalam Kesehatan Perspektif Al-Qur’an Dan Sains". PROSIDING Seminar Nasional Pendidikan Fisika FITK, UNSIQ ISSN 2615-2789 Vol. 1, No. 1.
Palimbong, E.Y. 2018. â€Deteksi Tbc Paru Dari Citra Foto Rontgen Menggunakan Jaringan Syaraf Tiruan Backpropagationâ€. Teknik Elektro Fakultas Teknik Universitas Semarang.
P, D.A., Arista, V., dkk. 2021. â€Segementasi Citra Digital Ikan Menggunakan Metode Thresholding Dan K-Meansâ€.
Priyawati, D., Soesanti, Indah., & Hidayah, I. 2015. â€Kajian Pustaka Metode Segmentasi Citra Pada Mri Tumor Otakâ€. Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada.
Atina. 2017. Segmentasi Citra Paru Menggunakan Metode k-Means Clustering. Universitas PGRI Palembang.
Torkis Nasution. 2012. â€Segmentasi Citra Digital Berbasis Clustering Menggunakan Deteksi Tepi Sobelâ€. Program Studi Teknik Informatika, STMIK-AMIK Riau.