Restricted Boltzmann Machines for Fundus Image Reconstruction and Classification of Hypertension Retinopathy
- 1 Binus Graduate Program University of Bina Nusantara, Indonesia
- 2 University of Indonesia, Indonesia
Abstract
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.
DOI: https://doi.org/10.3844/jcssp.2021.156.166
Copyright: © 2021 Bambang Krismono Triwijoyo, Boy Subirosa Sabarguna, Widodo Budiharto and Edi Abdurachman. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Restricted Boltzmann Machines
- Fundus Image
- Reconstruction
- Classification
- Hypertensive Retinopathy