A deep convolutional neural network for classification of red blood cells in sickle cell anemia
Fig 13
Performance analysis for SCD RBC classification based on “Exp_II” dataset (coarse labeling).
(A) confusion matrix showing the detailed number of correctly classified RBC images and misclassified RBC images, (B) 5 statistic metrics for the 5 types of RBC category prediction results, (C) Specific F-score, precision and recall analysis for different RBC categories.