Recent advancements in 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 learn on large datasets with labeled erythrocyte images, enabling them to distinguish amongst various categories