Quadratic Weighted Kappa Score Exploration in Diabetic Retinopathy Severity Classification Using EfficientNet

Chivinge, Lincoln; Nyandoro, Leslie Kudzai; Zvarevashe, Kudakwashe

doi:10.1109/zcict55726.2022.10045938

2022 1st Zimbabwe Conference of Information and Communication Technologies (ZCICT) 2022

DOI: 10.1109/zcict55726.2022.10045938

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Quadratic Weighted Kappa Score Exploration in Diabetic Retinopathy Severity Classification Using EfficientNet

Lincoln Chivinge

Leslie Kudzai Nyandoro

Kudakwashe Zvarevashe

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2024

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An adaptive weighted ensemble learning network for diabetic retinopathy classification

Wu,

Qu,

Zhao

et al. 2024

Journal of X-Ray Science and Technology: Clinical Applications

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Diabetic retinopathy (DR) is one of the leading causes of blindness. However, because the data distribution of classes is not always balanced, it is challenging for automated early DR detection using deep learning techniques. In this paper, we propose an adaptive weighted ensemble learning method for DR detection based on optical coherence tomography (OCT) images. Specifically, we develop an ensemble learning model based on three advanced deep learning models for higher performance. To better utilize the cues implied in these base models, a novel decision fusion scheme is proposed based on the Bayesian theory in terms of the key evaluation indicators, to dynamically adjust the weighting distribution of base models to alleviate the negative effects potentially caused by the problem of unbalanced data size. Extensive experiments are performed on two public datasets to verify the effectiveness of the proposed method. A quadratic weighted kappa of 0.8487 and an accuracy of 0.9343 on the DRAC2022 dataset, and a quadratic weighted kappa of 0.9007 and an accuracy of 0.8956 on the APTOS2019 dataset are obtained, respectively. The results demonstrate that our method has the ability to enhance the ovearall performance of DR detection on OCT images.

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An adaptive weighted ensemble learning network for diabetic retinopathy classification

Wu,

Qu,

Zhao

et al. 2024

Journal of X-Ray Science and Technology: Clinical Applications

View full text Add to dashboard Cite

show abstract

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Quadratic Weighted Kappa Score Exploration in Diabetic Retinopathy Severity Classification Using EfficientNet

Cited by 1 publication

References 40 publications

An adaptive weighted ensemble learning network for diabetic retinopathy classification

An adaptive weighted ensemble learning network for diabetic retinopathy classification

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