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  Indian J Med Microbiol
 

Figure 5: Class - confusion. Multi-class classification performance. (a) Misclassified tissue samples. The first row corresponds to sample images from the training set. The final row shows the predicted class labels. We observe a high range of color, tissue and staining variability in the misclassified samples. (b) Confusion matrix after leave-one-out cross validation. Each column of the matrix represents the predicted class, while each row represents the ground truth class

Figure 5: Class - confusion. Multi-class classification performance. (a) Misclassified tissue samples. The first row corresponds to sample images from the training set. The final row shows the predicted class labels. We observe a high range of color, tissue and staining variability in the misclassified samples. (b) Confusion matrix after leave-one-out cross validation. Each column of the matrix represents the predicted class, while each row represents the ground truth class