eel4759_classification

Comparison of different ImageNet-based CNN models for classifying diabetic retinopathy images
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classification_report.txt (593B)

      1 Experiment: vit_b_16_clahe=True
      2 
      3                       precision    recall  f1-score   support
      4 
      5          Healthy (0)       0.85      0.80      0.83      3872
      6        Mild NPDR (1)       0.14      0.22      0.17       366
      7    Moderate NPDR (2)       0.45      0.45      0.45       794
      8      Severe NPDR (3)       0.43      0.47      0.45       131
      9 Proliferative DR (4)       0.56      0.56      0.56       106
     10 
     11             accuracy                           0.69      5269
     12            macro avg       0.49      0.50      0.49      5269
     13         weighted avg       0.73      0.69      0.71      5269