NDLI: Semantic analysis of skin lesions using radial basis function neural networks

Content Provider	IEEE Xplore Digital Library
Author	Przystalski, K. Nowak, L. Ogorzalek, M. Surowka, G.
Copyright Year	2010
Description	Author affiliation: Jagiellonian University, Krakow, Poland (Przystalski, K.; Nowak, L.; Ogorzalek, M.; Surowka, G.)
Abstract	Artificial Neural Networks have been successfully applied to abroad spectrum of complex analysis problems. Computational intelligence is finding more and more applications in computer aided diagnostics, helping doctors to process large quantities of various medical data. In dermatology it is extremely difficult to perform automatic diagnostic differentiation of malignant melanoma based only on dermatoscopic images. Applying artificial intelligence algorithms to explore and search large database of dermatoscopic images allow doctors to semantically filter out image with specified characteristics. This paper presents an approach for characteristic objects classification found in image database of pigment skin lesions, based on radial basis function kernel for artificial neural networks.
Starting Page	128
Ending Page	132
File Size	659861
Page Count	5
File Format	PDF
ISBN	9781424475605
e-ISBN	9781424475629
DOI	10.1109/HSI.2010.5514576
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing semantic Artificial neural networks neural networks Application software image analysis artificial neural networks radial basis function Image databases malignant melanoma Radial basis function networks Computer applications semantic analysis Skin Lesions Computational intelligence Medical diagnostic imaging Biomedical imaging
Content Type	Text
Resource Type	Article

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