This study demonstrates that a single dermatologist should not be used as a reference, and subjective validation of lesion contour is inaccurate outside an experts's group. It is argued that image processing techniques for computer-aided diagnosis must show the best compromise within such a group.
This paper deals with image processing for automatic analysis of pigmented skin lesions. A special emphasis is put on pigmented networks in epiluminescence microscopy ELM images. The purpose of processing images with pigmented skin lesions is the visualisation for education and training as well as for diagnosis support.We use a colour based segmentation applied to the Karhunen-Lo eve transform of the RGB colour vectors to separate pigmented lesions from the skin and proceed with histogram equalisation and greyscale morphology to enhance and lter the pigmented networks.We demonstrate that we can enhance pigmented networks in skin lesions visually, and make them accessible to further analysis and classi cation.
Cutaneous plasmacytosis is a recently described skin disorder consisting of brown to red papules and nodules containing polyclonal plasmacytes. In this particular case, leg ulcers developed but also a diffuse patchy hyperpigmentation coexisting with a primary hypothyrodisim. The last two signs have only been described to date in POEMS syndrome, which is linked to monoclonal plasmacytic proliferation, and might suggest an overlap between these two entities.
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