Performance Analysis of Hybrid SOM and AdaBoost Classifiers for Diagnosis of Hypertensive Retinopathy-Reference-Cited by-同舟云学术

Performance Analysis of Hybrid SOM and AdaBoost Classifiers for Diagnosis of Hypertensive Retinopathy

Published:2021-05-22 Issue:34 Volume:9 Page:79-88
ISSN:2345-2773
Container-title:Journal of Information Systems and Telecommunication
language:en
Short-container-title:JIST

Author:

Wiharto Wiharto,Suryani Esti,Susilo Murdoko

Publisher

CMV Verlag

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Information Systems

Reference43 articles.

1. [1] W. Wiharto and E. Suryani, “The Review of Computer Aided Diagnostic Hypertensive Retinopathy Based on The Retinal Image Processing,” in The 2nd Sriwijaya international Conference on Science, Engineering, and Technology [SICEST], Palembang, Indonesia, 2018, vol. 690, pp. 1–9. doi: 10.1088/1757-899X/620/1/012099.

2. [2] F. Garcia-Lamont, J. Cervantes, A. López, and L. Rodriguez, “Segmentation of images by color features: A survey,” Neurocomputing, vol. 292, pp. 1–27, May 2018, doi: 10.1016/j.neucom.2018.01.091.

3. [3] W. Wiharto and E. Suryani, “The Analysis Effect of Cluster Numbers On Fuzzy C-Means Algorithm for Blood Vessel Segmentation of Retinal Fundus Image,” in IEEE The 2nd International Conference on Information and Communications Technology, Yogyakarta, Indonesia, 2019, pp. 1–5. doi: 10.1109/ICOIACT46704.2019.8938583.

4. [4] W. Wiharto and E. Suryani, “The Segmentation Analysis of Retinal Image Based on K-means Algorithm for Computer-Aided Diagnosis of Hypertensive Retinopathy,” Indonesian Journal of Electrical Engineering and Informatics (IJEEI), vol. 8, no. 2, pp. 419–426, 2020, doi: 10.11591/ijeei.v8i2.1287.

5. [5] W. Wiharto, E. Suryani, and M. Susilo, “The Hybrid Method of SOM Artiﬁcial Neural Network and Median Thresholding for Segmentation of Blood Vessels in the Retina Image Fundus,” International Journal of Fuzzy Logic and Intelligent Systems, vol. 19, no. 4, pp. 323–331, 2019.