Automatic PASI area scoring

Ihtatho, Dani; Fadzil, M. H. Ahmad; Affandi, Azura Mohd; Hussein, Suraiya H.

doi:10.1109/icias.2007.4658501

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“…[9] adapts to psoriasis segmentation the powerful approach of k−means clustering, requiring rigorous parameter tuning; the same requirement holds for [20], which is based on Multiple Spectral-Spatial Classification. The approach of [6] uses colour distance metrics to classify pixels; when applied to "full body" photographs, this method is not robust with respect to variability in skin texture, colour and illumination.…”

Section: Related Workmentioning

confidence: 99%

Psoriasis segmentation through chromatic regions and Geometric Active Contours

Bogo

Samory

Fortina

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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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.

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Section: Related Workmentioning

confidence: 99%