Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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In the past few years an increasing interest in images of melanocytic skin lesions is observed. These images can be treated as a visual support of diagnosing of Malignant melanoma, currently one of the most dangerous type of tumors [14]. On the other hand, the lack of professional computer databases containing images of above mentioned lesions is clearly noticed. These reasons inspired us to start some research on the development of a set of the generalized algorithms to synthesize medical images in general, but specifically to synthesize static images of melanocytic skin lesions. Implementation of these methods (algorithms) should allow to create large and reliable multi-category informational database, designed for authorized institutions. It seems, that this database could be successfully used in the training process of medical students and/or less experienced physicians (mainly dermatologists). Additionally, the synthetic images, created by the developed set of algorithms, could be used in medical diagnostic systems (as reference images).