Robust classification model for diabetic retinopathy based on the contrastive learning method with a convolutional neural network

HIGHLIGHTS

• who: Xinxing Feng et al. from the Peking Union Medical College, Beijing, China have published the research work: Robust Classification Model for Diabetic Retinopathy Based on the Contrastive Learning Method with a Convolutional Neural Network, in the Journal: (JOURNAL)
• what: The results in this work showed that the features learned by supervised contract learning were aggregated into different clusters separately. The work shows that the SCL is suitable for diabetic retinopathy binary classification.
• how: The performances of different deep learning networks 2 of 11 such as VGG19 InceptionV3 ResNet50 NASNet and MobileNet were . . .
  

   

  

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