Recent advancements with computer vision have revolutionized automated erythrocyte classification for hematology. Deep learning algorithms possess the ability to analyze microscopic images containing erythrocytes with remarkable accuracy. These algorithms learn on large datasets featuring labeled erythrocyte images, enabling them to distinguish an�