Recent advancements with computer vision have revolutionized automated erythrocyte classification in hematology. Deep learning algorithms are capable of analyze microscopic images of erythrocytes with remarkable accuracy. These algorithms are trained on large datasets featuring labeled erythrocyte images, enabling them and thus distinguish between