eel4759_classification

Comparison of different ImageNet-based CNN models for classifying diabetic retinopathy images
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classification_report.txt (594B)

      1 Experiment: vit_b_16_clahe=False
      2 
      3                       precision    recall  f1-score   support
      4 
      5          Healthy (0)       0.83      0.79      0.81      3872
      6        Mild NPDR (1)       0.12      0.17      0.14       366
      7    Moderate NPDR (2)       0.41      0.46      0.43       794
      8      Severe NPDR (3)       0.50      0.37      0.43       131
      9 Proliferative DR (4)       0.63      0.43      0.51       106
     10 
     11             accuracy                           0.68      5269
     12            macro avg       0.50      0.45      0.47      5269
     13         weighted avg       0.71      0.68      0.69      5269