NDLI: Characterization of border structure using fractal dimension in melanomas

Content Provider	IEEE Xplore Digital Library
Author	Carbonetto, S.H. Lew, S.E.
Copyright Year	2010
Description	Author affiliation: Instituto de Ingeniería Biomédica (IIBM), Facultad de Ingeniería, Universidad de Buenos Aires, Av. Paseo Colón 850, C1063ACV, ARGENTINA (Lew, S.E.) \|\| Laboratorio de Física de Dispositivos-Microelectrónica, Departamento de Física, Facultad de Ingeniería, Universidad de Buenos Aires, Av. Paseo Colón 850, C1063ACV, ARGENTINA (Carbonetto, S.H.)
Abstract	There are many characteristics that differentiate normal moles (nevi) from melanomas. One of them is their boundary irregularity, which can be quantified using Fractal Dimension. In this work, fractal dimension of normal moles and melanoma was computed using the box counting method. These measurements were used to train a linear decoder in order to predict the pathology. The average performance to discriminate normal moles from melanomas reached 85% giving some insights about the power of the fractal dimension as a candidate for automatic detection and diagnosis.
Starting Page	4088
Ending Page	4091
File Size	880023
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Malignant tumors Fractals Training Testing Estimation Cancer Skin
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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