TY  - JOUR
AU  - Triwijoyo, Bambang Krismono 
AU  - Sabarguna, Boy Subirosa 
AU  - Budiharto, Widodo 
AU  - Abdurachman, Edi 
PY  - 2021
TI  - Restricted Boltzmann Machines for Fundus Image Reconstruction and Classification of Hypertension Retinopathy
JF  - Journal of Computer Science
VL  - 17
IS  - 2
DO  - 10.3844/jcssp.2021.156.166
UR  - https://thescipub.com/abstract/jcssp.2021.156.166
AB  - Conventionally classification of hypertensive retinopathy through analysis of fundus images by experts, but this method the results are highly dependent on the accuracy of observations and expert experience. In this study, we propose a fundus image reconstruction and Hypertensive retinopathy classification model using Restricted Boltzmann Machines (RBM), as well as the Messidor database that has been labeled as a dataset. The experimental results show that the performance of the model produces an accuracy level of 99.05% where the model can generalize image input into one of the nine classes of the severity of hypertension retinopathy.