Identifikasi Potensi Glaukoma dan Diabetes Retinopati Melalui Citra Fundus Menggunakan Jaringan Syaraf Tiruan

  • Muhammad Ezar Al Rivan
  • Tegar Juangkara

Abstract

 Glaucoma and diabetic retinopathy identification conduct form fundus image. Artificial Neural Network can be used as algorithm to identify glaucoma and diabetic retinopathy. Dataset contains 60 fundus image consist of 20 glaucoma fundus image, 20 diabetic retinopathy fundus images and 2- normal fundus image. The result are 86,6% for average recall, 86,6% for average precision and 91,06% for average accuracy.

References

[1] M. Clinic, “Glaucoma - Symptoms and causes.” [Online]. Available: https://www.mayoclinic.org/diseases-conditions/glaucoma/symptoms-causes/syc-20372839.
[2] M. Clinic, “Diabetic retinopathy - Symptoms and causes.” [Online]. Available: https://www.mayoclinic.org/diseases-conditions/diabetic-retinopathy/symptoms-causes/syc-20371611.
[3] H. Fauzi and F. Hadi, “SISTEM DETEKSI GLAUKOMA PADA FOTO FUNDUS RESOLUSI TINGGI,” J. Elektro dan Telekomun. Terap., vol. 2, no. 2, 2016.
[4] D. S. Tobias and A. R. Widiarti, “Deteksi Glaukoma pada Citra Fundus Retinadengan Metode K-Nearest Neighbor,” Semin. Nas. Ilmu Komput. (SNIK 2016), 2016.
[5] Y. S. Kurniawan, I. B. Hidayat, and S. Aulia, “Deteksi Dan Klasifikasi Tingkat Keparahan Retinopati Diabetes Dengan Menggunakan Metode Klasifikasi K – Nearest Neighbor Detection and Classification of Diabetic Retinopathy Severity Using K – Nearest Neighbor method,” vol. 2, no. 1, pp. 468–475, 2015.
[6] A. P. Pratama, R. D. Atmaja, and H. Fauzi, “Deteksi Diabetes Retinopati Pada Foto Fundus Menggunakan Color Histogram & Transformasi Wavelet,” eProceedings Eng., vol. 3, no. 3, 2016.
[7] R. Y. Dillak, M. G. Bintiri, J. Teknik, S. Universitas, and S. Maroso, “IDENTIFIKASI FASE PENYAKIT RETINOPATI DIABETES,” vol. 2012, no. semnasIF, pp. 126–133, 2012.
[8] B. Attila, B. Rüdiger, M. Andreas, H. Joachim, and M. Georg, “Robust Vessel Segmentation in Fundus Images,” Int. J. Biomed. Imaging, vol. 2013, pp. 1–22, 2013.
Published
2019-09-18