Integrating Bayesian and Convolution Neural Network for Uncertainty Estimation of Cataract from Fundus Images

The effective and timely diagnosis and treatment of ocular diseases are key to the rapid recovery of patients. Today, the mass disease that needs attention in this context is cataracts. Although deep learning has significantl... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.060484
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating Bayesian and Convolution Neural Network for Uncertainty Estimation of Cataract from Fundus Images

Ashwag Alasmari, Anandhavalli Muniasamy
Computer Modeling in Engineering & Sciences
Retinal Imaging and Analysis
article

Integrating Bayesian and Convolution Neural Network for Uncertainty Estimation of Cataract from Fundus Images

Ashwag Alasmari, Anandhavalli Muniasamy
article en

Abstract

The effective and timely diagnosis and treatment of ocular diseases are key to the rapid recovery of patients. Today, the mass disease that needs attention in this context is cataracts. Although deep learning has significantl... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 143(1)
King Khalid University
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Openalex Percentile: Top 91%
Retinal Imaging and Analysis
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Integrating Bayesian and Convolution Neural Network for Uncertainty Estimation of Cataract from Fundus Images — Ashwag Alasmari, Anandhavalli Muniasamy · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS