Abstract
A collection of new algorithms for the synthesis of selected features of melanocytic skin lesion images is briefly outlined. The key approach in the developed synthesis methodology is a semantic conversion of textual description of melanocytic skin lesions - by an in-house developed system - into hybrid, i.e., vector-raster type digital images. It seems that synthetic images generated by means of the developed algorithms can be successfully used as an alternative source of knowledge. It is assumed that the developed methodology can be successfully used in education of dermatology students and preferred medical doctors.
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Hippe, Z.S., Grzymała-Busse, J.W., Piątek, Ł. (2009). Synthesis of Static Medical Images with an Active Shape Model. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_45
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DOI: https://doi.org/10.1007/978-3-642-00563-3_45
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