Deteksi Penyakit Mata Menggunakan Algoritma Region Growing

Chicha Rizka Gunawan, Mahara Bengi, Chichi Rizka Gunawan, Cut Alna Fadhilla

Abstract


Medical image processing is a data manipulation process aimed at producing new images with improved quality. The primary objective of medical image processing is to obtain information, perform screening procedures, and support disease diagnosis, one of which is eye diseases. Nodules, as one of the indications of eye diseases, are generally analyzed visually by physicians. This study develops an algorithm to detect nodules in eye CT scan images based on the morphological characteristics of nodules, which are generally circular in shape. The experimental results show that the nodule area can be calculated based on the number of pixels forming the nodule region. In several image slices, the nodule area cannot be detected due to the condition where the nodule is attached to other parts of the eye. The developed algorithm is capable of detecting nodules in multiple eye CT scan slices and calculating the nodule area in each image slice. Therefore, the proposed nodule detection algorithm is expected to assist physicians in diagnosing eye diseases more accurately and objectively.

 

Keywords: Detection, Region Growing, Eye Disease, Medical Image Processing, Nodule


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References


A. P. Putra, Y. I. Nurhasanah, and A. Zulkarnain, “Deteksi Penyakit Diabetes Retinopati Pada Retina,” J. Tek. Inform. dan Sist. Inf., vol. 3, no. 2, pp. 376–390, 2017.

E. D. Putra, Marissa Utami, and Mariana Purba, “Penerapan Algoritma Viola Jones Untuk Deteksi Mata Pada Pengolahan Citra Digital,” JCOSIS (Journal Comput. Sci. Inf. Syst., vol. 1, no. 2, pp. 32–36, 2024, [Online]. Available: https://jurnal.imsi.or.id/index.php/jcosis/article/view/208

Verdy and Ery Hartati, “Klasifikasi penyakit mata menggunakan convolutional neural network model resnet-50. Jurnal Rekayasa Sistem Informasi dan Teknologi,” vol. 1, no. 3, pp. 199–206, 2021.

T. Taufiq, “Deteksi Rasa Kantuk pada Pengendara Kendaraan Bermotor Berbasis Pengolahan Citra Digital,” J. Teknol. Terap. Sains 4.0, vol. 2, no. 1, p. 403, 2021, doi: 10.29103/tts.v2i1.3850.

A. S. Anas and A. Rizal, “Deteksi Tepi Dalam Pengolahan Citra Digital,” Semin. Nas. TIK dan Ilmu Sos., vol. 2, no. x, pp. 1–6, 2021.

M. A. Saktiono, “Mendeteksi Kondisi Organ Liver Melalui Citra Iris Menggunakan Teknik Pengolahan Citra Digital,” JEEE-U (Journal Electr. Electron. Eng., vol. 3, no. 1, pp. 138–161, 2019, doi: 10.21070/jeee-u.v3i1.2089.

R. Anugrah, “Sistem Pendukung Diagnosa Iridologi Dengan Menggunakan Pengolahan Citra Digital Metode Segmentasi Berbasis Region,” Insa. Pembang. Sist. Inf. dan Komput., vol. 8, no. 2, 2020, doi: 10.58217/ipsikom.v8i2.175.

Y. R. Prayogi, C. L. Wibisono, and A. H. Abror, “Freshness Detection of Milkfish Based on Digital Image Processing,” REMIK (Riset dan E-Jurnal Manaj. Inform. Komputer), vol. 4, no. 1, p. 53, 2019.

E. Hari Rachmawanto, “JIP (Jurnal Informatika Polinema) SEGMENTASI PEMBULUH DARAH PADA CITRA RETINA MATA MENGGUNAKAN METODE REGION GROWING,” pp. 25–30, 2020, [Online]. Available: https://www.kaggle.com/andrewmvd/fundus-

I. P. E. Sutariawan, G. R. Dantes, and K. Y. Ernanda Aryanto, “Segmentasi Mata Katarak Pada Citra Medis Menggunakan Metode Operasi Morfologi,” J. Ilmu Komput. Indones., vol. 3, no. 1, pp. 23–31, 2019, doi: 10.23887/jik.v3i1.2750.

A. Habsari, T. Harsono, H. Yuniarti, and R. Tjandra, “Deteksi Microaneurysm Pada Mata Sebagai Langkah Awal Untuk Penentuan Diabetic Retinophaty Menggunakan Pengolahan Citra Digital,” J. Appl. Informatics Comput., vol. 5, no. 2, pp. 139–145, 2021, doi: 10.30871/jaic.v5i2.3302.

M. Rosmiati and S. Siregar, “Deteksi Penyakit melalui Iris Mata menggunakan Watershed Algorhytm dengan Simulasi MATLAB,” pp. 6–8, 2015.

V. Wirawan and Y. E. Soelistio, “Model Klasifikasi Mata Katarak dan Normal Menggunakan Histogram,” Ultim. J. Tek. Inform., vol. 9, no. 1, pp. 33–36, 2017, doi: 10.31937/ti.v9i1.561.




DOI: http://dx.doi.org/10.30829/algoritma.v9i2.27908

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