Fig. 4
From: Artificial intelligence-assisted prediction of Demodex mite density in facial erythema
Visualization of DemodexNet’s attention mechanisms. (a) GMIC model saliency maps and attention scores for three representative cases. For each case: input image (left), patch map showing regions of interest (center), and saliency map highlighting areas of model focus (right). Attention scores (α) indicate the importance of each patch. (b) Class activation mapping of the SE model, showing heat maps of regions contributing to the model decisions. (1) to (4) represent different facial local patches with their corresponding close-up views and activation maps. GMIC, Globally-aware Multiple Instance Classifier; SE, stacking ensemble.
