We present a novel approach to the segmentation of psoriasis lesions in full body digital photographs potentially involving dozens or even hundreds of separate lesions. Our algorithm first isolates a set of zones that certainly correspond to lesional plaques based on chromatic information, and then expands these zones to achieve an accurate segmentation of plaques through a Geometric Active Contours method. The variability in segmentation between our algorithm and different human operators appears comparable to the variability between human operators. © 2012 IEEE.
Psoriasis segmentation through chromatic regions and Geometric Active Contours / Bogo, F.; Samory, M.; Belloni Fortina, A.; Piaserico, S.; Peserico, E.. - 2012:(2012), pp. 5388-5391. ( 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 San Diego, CA, usa ) [10.1109/EMBC.2012.6347212].
Psoriasis segmentation through chromatic regions and Geometric Active Contours
Samory M.;
2012
Abstract
We present a novel approach to the segmentation of psoriasis lesions in full body digital photographs potentially involving dozens or even hundreds of separate lesions. Our algorithm first isolates a set of zones that certainly correspond to lesional plaques based on chromatic information, and then expands these zones to achieve an accurate segmentation of plaques through a Geometric Active Contours method. The variability in segmentation between our algorithm and different human operators appears comparable to the variability between human operators. © 2012 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
