Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 12, 1626(2022)

Diabetic retinopathy classification method based on cost sensitive regularization and EfficientNet

Ming-zhi WANG, Zhi-qiang MA*, Feng-feng ZHAO, Yong-jie WANG, and Ji-feng GUO
Author Affiliations
  • College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China
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    References(33)

    [3] MACHO J S, LÓPEZ J Á F V, REY J A D et al. Prevalencia de retinopatía diabética en una población diabética no seleccionada[J]. Archivos de la Sociedad Española de Oftalmología, 59, 277-284(1990).

    [7] SIMONYAN K, VEDALDI A, ZISSERMAN A. Deep inside convolutional networks: Visualising image classification models and saliency maps[C](2014).

    [10] SAHA O, SATHISH R, SHEET D. Fully convolutional neural network for semantic segmentation of anatomical structure and pathologies in colour fundus images associated with diabetic retinopathy[J]. arXiv, 1902.03122(2019).

    [12] PANG H, WANG C. Deep learning model for diabetic retinopathy detection[J]. Journal of Software, 28, 3018-3029(2017).

    [19] TAN M X, LE Q V. Efficientnet: Rethinking model scaling for convolutional neural networks[C], 6105-6114(2019).

    [25] FAN J W, ZHANG R R, LU M et al. Applications of deep learning techniques for diabetic retinal diagnosis[J]. Acta Automatica Sinica, 47, 985-1004(2021).

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    Ming-zhi WANG, Zhi-qiang MA, Feng-feng ZHAO, Yong-jie WANG, Ji-feng GUO. Diabetic retinopathy classification method based on cost sensitive regularization and EfficientNet[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(12): 1626

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    Paper Information

    Category: Research Articles

    Received: May. 11, 2022

    Accepted: --

    Published Online: Nov. 30, 2022

    The Author Email: Zhi-qiang MA (1791105996@qq.com)

    DOI:10.37188/CJLCD.2022-0161

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