Figure 2
From: A supervised visual model for finding regions of interest in basal cell carcinoma images
The proposed method diagram. The proposed method finds structures with diagnostic meaning and assigns a level of relevance to each one. At the first step, our method split the image into several structures. After that, the low level features compete locally to attract the user attention. Then the high level features regulate the activation map. Finally it identifies the relevant regions in the image.