Recent advancements in computer vision have revolutionized automated erythrocyte classification in hematology. Deep learning algorithms can analyze microscopic images for erythrocytes with remarkable accuracy. These algorithms learn on large datasets featuring labeled erythrocyte images, enabling them and thus distinguish across various categories