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. © 2010 IEEE.
Registro:
| Documento: |
Conferencia
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| Título: | Characterization of border structure using Fractal Dimension in melanomas |
| Autor: | Carbonetto, S.H.; Lew, S.E. |
| Ciudad: | Buenos Aires |
| Filiación: | Laboratorio de Física de Dispositivos-Microelectrónica, Departamento de Física, Universidad de Buenos Aires, Av. Paseo Colón 850, C1063ACV Buenos Aires, Argentina
Instituto de Ingeniería Biomédica (IIBM), Facultad de Ingeniería, Universidad de Buenos Aires, Av. Paseo Colón 850, C1063ACV Buenos Aires, Argentina
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| Palabras clave: | Automatic Detection; Boundary irregularities; Box-counting method; Medicine; Partial discharges; Fractal dimension; article; fractal analysis; human; melanoma; pathology; skin tumor; Fractals; Humans; Melanoma; Skin Neoplasms |
| Año: | 2010
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| Página de inicio: | 4088
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| Página de fin: | 4091
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| DOI: |
http://dx.doi.org/10.1109/IEMBS.2010.5627296 |
| Título revista: | 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
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| Título revista abreviado: | Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., EMBC
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| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814244_v_n_p4088_Carbonetto |
Referencias:
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- Zagrouba, E., Barhoumi, W., A prelimary approach for the automated recognition of malignant melanoma (2004) Image Analysis and Stereology, 23 (2)
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- Ng, V., Coldman, A., Diagnosis of melanoma with fractal dimension (1993) TENCON'93, 4, pp. 514-517. , October
- Piantanelli, A., Maponi, P., Scalise, L., Serresi, S., Cialabrini, A., Basso, A., Fractal characterisation of boundary irregularity in skin pigmented lesions (2005) Medical and Biological Engineering and Computing Journal, 43 (4), pp. 436-432. , August
- Gao, J., Zhang, J., Fleming, M.G., Pollak, I., Cognetta, A.B., Segmentation of dermatoscopic images by stabilized inverse diffusion equations (1998) 1998 International Conference on Image Processing (ICIP'98), 3, pp. 823-827
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Citas:
---------- APA ----------
Carbonetto, S.H. & Lew, S.E.
(2010)
. Characterization of border structure using Fractal Dimension in melanomas. 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, 4088-4091.
http://dx.doi.org/10.1109/IEMBS.2010.5627296---------- CHICAGO ----------
Carbonetto, S.H., Lew, S.E.
"Characterization of border structure using Fractal Dimension in melanomas"
. 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
(2010) : 4088-4091.
http://dx.doi.org/10.1109/IEMBS.2010.5627296---------- MLA ----------
Carbonetto, S.H., Lew, S.E.
"Characterization of border structure using Fractal Dimension in melanomas"
. 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, 2010, pp. 4088-4091.
http://dx.doi.org/10.1109/IEMBS.2010.5627296---------- VANCOUVER ----------
Carbonetto, S.H., Lew, S.E. Characterization of border structure using Fractal Dimension in melanomas. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., EMBC. 2010:4088-4091.
http://dx.doi.org/10.1109/IEMBS.2010.5627296