A method for displaying at least two medical images, comprising the steps of: a) obtaining at least one 2D medical image of whole or part of the liver of a subj ect, b) identifying on the medical image of step a) at least two features, c) generating masks showing the features of step b) and coloring said masks, each mask highlighting at least one feature identified in step b), wherein said masks are selected from total fibrosis mask, porto-septal fibrosis mask, perisinusoidal fibrosis mask, portal fibrosis mask, stellar fibrosis mask, bridging fibrosis mask, simple septa mask, biopsy edge mask, biopsy specimen surface mask, Arantius furrow perimeter mask, Arantius furrow surface mask, liver perimeter mask, liver surface mask, spleen perimeter mask, spleen surface mask, liver segment I perimeter mask, liver segment IV perimeter mask, liver segment IV surface mask, liver and spleen surfaces mask and liver and spleen perimeters mask, d) generating a set of at least two medical images by superimposing at least one mask of step c) on the medical image of step a), e) displaying the set of at least two medical images of step d), one after the other, wherein said method further comprises measuring at least one descriptor associated with a feature on the medical image, the at least one descriptor being selected from fractal dimension of porto-septal fibrosis, fractal dimension of perisinusoidal fibrosis, ratio of perisinusoidal fibrosis area, whole area of stellar fibrosis, portal area of stellar fibrosis, mean portal distance, number of bridges, portal ratio of the bridges, mean bridge thickness, mean granularity percentage, mean nodularity percentage, fragmentation index, edge linearity percentage, Arantius furrow width, mean liver perimeter, mean spleen perimeter, ratio of spleen to liver surface, frontal or sagittal length of liver segment I, and whole spleen perimeter, and measuring the abnormality level of the at least one descriptor associated with a feature by comparing the value of said descriptor associated with a feature with a reference value, wherein the color of the mask highlighting a feature reflects the abnormality level of a descriptor associated with said feature. a) obtaining at least one 2D medical image of whole or part of the liver of a subj ect, b) identifying on the medical image of step a) at least two features, c) generating masks showing the features of step b) and coloring said masks, each mask highlighting at least one feature identified in step b), wherein said masks are selected from total fibrosis mask, porto-septal fibrosis mask, perisinusoidal fibrosis mask, portal fibrosis mask, stellar fibrosis mask, bridging fibrosis mask, simple septa mask, biopsy edge mask, biopsy specimen surface mask, Arantius furrow perimeter mask, Arantius furrow surface mask, liver perimeter mask, liver surface mask, spleen perimeter mask, spleen surface mask, liver segment I perimeter mask, liver segment IV perimeter mask, liver segment IV surface mask, liver and spleen surfaces mask and liver and spleen perimeters mask, d) generating a set of at least two medical images by superimposing at least one mask of step c) on the medical image of step a), e) displaying the set of at least two medical images of step d), one after the other, <EOS>