Various methods and systems are provided for comparison of medical scan images during functional imaging evaluation. In one example, structural similarity between a first scan image and a second scan image of a lesion may be determined by implementing a deep learning model including plurality of neural networks trained with base structures and different perturbations of base structures, and ranking structural similarity based on a selected neural network model trained with perturbations of base structures corresponding to the structural difference between the first and second scan images.