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ITHEA Classification Structure > I. Computing Methodologies  > I.3 COMPUTER GRAPHICS  > I.3.3 Picture/Image Generation
SYNTHESIS OF STATIC MEDICAL IMAGES WITH USING MACHINE LEARNING METHODS
By: Łukasz Piątek, Grzegorz Owsiany (4629 reads)
Rating: (1.00/10)

Abstract: A part of collection of new algorithms for synthesis of melanocytic skin lesion images is briefly described. Presented approach in the developed algorithms based on a semantic conversion of textual description of melanocytic skin lesions into hybrid (vector-raster type) digital respective images of such lesions. It is assumed, that the developed methodology could be successfully used in education of dermatology students.

Keywords: TDS, melanocytic skin lesion, image synthesis.

ACM Classification Keywords: I.3.3 Computing Methodologies – Computer Graphics – Picture/Image Generation

Link:

SYNTHESIS OF STATIC MEDICAL IMAGES WITH USING MACHINE LEARNING METHODS

Łukasz Piątek, Grzegorz Owsiany

http://foibg.com/ibs_isc/ibs-20/ibs-20-p20.pdf

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I.3.3 Picture/Image Generation
article: METHODS OF IMAGE RECOGNITION AS A TOOL IN ANALYSIS OF INTERNAL COMPOSITES ... · SYNTHESIS OF STATIC MEDICAL IMAGES WITH USING MACHINE LEARNING METHODS · DIGITISATION OF CULTURAL HERITAGE: BETWEEN EU PRIORITIES AND BULGARIAN ... ·
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