Abstract
Some algorithms to synthesise static images of melanocytic skin lesions are briefly outlined. The key question of the compiled synthesis methodology is a semantic conversion of textual description of melanocytic skin lesions by an in-house developed algorithms capable to create hybrid (vector-raster) images. It was assumed, that owing to implementation of randomized development of images, single textual data vector enables creation a set of images, corresponding to symptoms of real melanocytic skin lesions. It was found, that the developed methodology of synthesis images of the lesions being investigated can be successfully used in the process of teaching of dermatology students and also in training of preferred medical doctors.
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Hippe, Z.S., Picatek, Ł. (2007). Synthesis of Static Medical Images — An Example of Melanocytic Skin Lesions. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_63
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DOI: https://doi.org/10.1007/978-3-540-75175-5_63
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