Characterization of border structure using Fractal Dimension in melanomas

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 measuremen...

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Detalles Bibliográficos
Publicado: 2010
Materias:
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
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814244_v_n_p4088_Carbonetto
http://hdl.handle.net/20.500.12110/paper_97814244_v_n_p4088_Carbonetto
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_97814244_v_n_p4088_Carbonetto
record_format dspace
spelling paper:paper_97814244_v_n_p4088_Carbonetto2023-06-08T16:37:23Z Characterization of border structure using Fractal Dimension in melanomas 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 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. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814244_v_n_p4088_Carbonetto http://hdl.handle.net/20.500.12110/paper_97814244_v_n_p4088_Carbonetto
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic 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
spellingShingle 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
Characterization of border structure using Fractal Dimension in melanomas
topic_facet 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
description 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.
title Characterization of border structure using Fractal Dimension in melanomas
title_short Characterization of border structure using Fractal Dimension in melanomas
title_full Characterization of border structure using Fractal Dimension in melanomas
title_fullStr Characterization of border structure using Fractal Dimension in melanomas
title_full_unstemmed Characterization of border structure using Fractal Dimension in melanomas
title_sort characterization of border structure using fractal dimension in melanomas
publishDate 2010
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814244_v_n_p4088_Carbonetto
http://hdl.handle.net/20.500.12110/paper_97814244_v_n_p4088_Carbonetto
_version_ 1768543920597237760

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