Table 7 Confusion matrix of the canine test dataset depicting the classification performance of the algorithm based on the segmentation of the pre-trained and unmodified Stardist model. The labels on the left indicate the class labels by pathologists’ majority classification, whereas the labels on the top represent the predicted labels by the model. The overall test accuracy was at 88%.

From: Histological classification of canine and feline lymphoma using a modular approach based on deep learning and advanced image processing