References: [1] Definition, diagnosis, and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus. World Health Organization, Geneva, 1999. Report Number: WHO/NCD/NCS/99.2 [2] Yau, J.W., Rogers, S.L., et al. (2012). Global prevalence and major risk factors of diabetic retinopathy, Diabetes Care; 35(3) 556- 64. [3] Usman Akram, M., Khalid, S., Tariq, A., Khan, S.A., Azam. F. (2014). Detection and classification of retinal lesions for grading of diabetic retinopathy, Computers in Biology and Medicine, 45 (1) 161–171, 2014. [4] Narasimhan, K., Neha, V. C., Vijayarekha. K. (2012). An Efficient Automated System for Detection of Diabetic Retinopathy from Fundus Images Using Support Vector Machine and Bayesian Classifiers, In: IEEE Transl. International Conference on Computing, Electronics and Electrical Technologies (ICCEET), Kumaracoil, 2012. p. 964-969. [5] Ravishankar, S. A., Jain., Mittal, A. (2009). Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images, In: IEEE Transl. International Conference on Computer Vision and Pattern Recognition (CVPR), 2009, p 210-217. [6] Kumari, V.V., Suriyanarayanan, N., Thanka Saranya, C. (2010). Feature Extraction for Early Detection of Diabetic Retinopathy, In:IEEE Transl. International Conference on Recent Trends in Information, Telecommunication and Computing, 2010, p. 359-361. [7] Abdillah, B., Bustamam, A., Devvi, S. (2017). Classification of Diabetic Retinopathy Through Texture Features Analysis, In: 2017 International Conference on Advanced Computer Science and Information Systems, Bali, Indonesia, 2017, p. 333-337. [8] Ram, K., Joshi, G. D., Sivaswamy, J. (2011). A successive clutter-rejection-based approach for early detection of diabetic retinopathy, In: IEEE Transactions on Biomedical Engineering, 2011, 58 (3 PART 1) 664–673. [9] Kauppi, T., Kalesnykiene, V., Kamarainen, J., Lensu, L., Sorri, I., Uusitalo, H., Kalviainen, H., Pietila, J. DIARETDB0: Evaluation Database and Methodology for Diabetic Retinopathy Algorithms, Technical report. [10] Datta, N. S., Dutta, H. S., De, M., Mondal, S. (2013). An Effective Approach: Image Quality Enhancement for Microaneurysms Detection of Non-dilated Retinal Fundus Image. Procedia Technology. 10, 731–737. [11] Ojala, T., Pietikainen, M., Harwood, D. (1996). A Comparative Study of Texture Measures with Classification Based on Feature Distributions, Pattern Recognition, 29 (1) 51-59. [12] Sarwinda, D., Bustamam, A. (2016). Detection of Alzheimer’s disease using advanced local binary pattern from hippocampus and whole brain of MR images, In: 2016 International Joint Conference on Neural Networks (IJCNN), 5051–5056. [13] Meena, K., Suruliandi, A. (2011). Local Binary Patterns and its Variants for face Recognition, In: IEEE-International Conference on Recent Trends in Information Technology (ICRTIT), 2011, Chennai, 782-786. [14] Ahonen, T., Hadid, A., Pietikainen, M. (2006). Face Description with Local Binary Patterns: Application to Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28 (12) 2037-2041, Dec. 2006. [15] Xie, Z. X. Z., Liu, G. L. G., He, C. H. C., and Wen, Y. W. Y. (2010). Texture Image Retrieval Based on Gray Level Co-Occurrence Matrix and Singular Value Decomposition, In: 2010 International Conference on Multimedia Technology (ICMT), 2010, (1) 3–5. [16] Costa, A.F., Humpire-Mamani, G., and Traina, A.J.M. (2012). An efficient algorithm for fractal analysis of textures, In: Brazilian Symposium of Computer Graphic and Image Processing, 2012, 39–46. [17] Mirajkar, S., and Patil, M.M. (2013). Feature Extraction of Diabetic Retinopathy Images, International Journal of Computer Applications (IJCA), In: Proceedings on Emerging Trends in Electronics and Telecommunication Engineering (Ncet), 2013, 5–8. [18] Nasser, A.T., Dogru, N. (2017). Signature recognition by using SIFT and SURF with SVM basic on RBF for voting online, In: 2017, International Conference on Engineering and Technology (ICET), 2017. Antalya, Turkey. |