eel4759_classification

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

      1 Experiment: resnet50_clahe=False
      2 
      3                       precision    recall  f1-score   support
      4 
      5          Healthy (0)       0.86      0.94      0.90      3872
      6        Mild NPDR (1)       0.19      0.06      0.09       366
      7    Moderate NPDR (2)       0.60      0.54      0.57       794
      8      Severe NPDR (3)       0.48      0.52      0.50       131
      9 Proliferative DR (4)       0.55      0.48      0.52       106
     10 
     11             accuracy                           0.80      5269
     12            macro avg       0.54      0.51      0.51      5269
     13         weighted avg       0.76      0.80      0.77      5269