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Image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images

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Mitosis Domain Generalization and Diabetic Retinopathy Analysis (MIDOG 2022, DRAC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13597))

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Abstract

In the diagnosis of diabetic retinopathy (DR), ultrawide optical coherence tomography angiography (UW-OCTA) has received extensive attention because it can non-invasively detect the changes of neovascularization in diabetic retinopathy images. However, in clinical application, UW-OCTA digital images will always suffer a variety of distortions due to a variety of uncontrollable factors, and then affect the diagnostic effect of DR. Therefore, screening images with better imaging quality is very crucial to improve the diagnostic efficiency of DR. In this paper, to promote the development of UW-OCTA DR image quality automatic assessment, we propose a multi-model ensemble class-imbalance repair (MMECIR) algorithm for UW-OCTA DR image quality grading assessment. The models integrated with this algorithm are ConvNeXt, EfficientNet v2, and Xception. The experimental results show that the MMECIR algorithm constructed in this paper can be well applied to UW-OCTA diabetic retinopathy image quality grading assessment (the quadratic weighted kappa of this algorithm is 0.6578). Our code is available at https://github.com/SupCodeTech/DRAC2022.

Supported by Ministry of Higher Education, Malaysia.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, 43400, Malaysia

    Zhuoyi Tan, Hizmawati Madzin & Zeyu Ding

Authors
  1. Zhuoyi Tan
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  2. Hizmawati Madzin
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  3. Zeyu Ding
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Corresponding author

Correspondence to Hizmawati Madzin .

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Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  2. Technische Hochschule Ingolstadt, Ingolstadt, Germany

    Marc Aubreville

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Tan, Z., Madzin, H., Ding, Z. (2023). Image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images. In: Sheng, B., Aubreville, M. (eds) Mitosis Domain Generalization and Diabetic Retinopathy Analysis. MIDOG DRAC 2022 2022. Lecture Notes in Computer Science, vol 13597. Springer, Cham. https://doi.org/10.1007/978-3-031-33658-4_11

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  • DOI: https://doi.org/10.1007/978-3-031-33658-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33657-7

  • Online ISBN: 978-3-031-33658-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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