Size Functions for the Morphological Analysis of Melanocytic Lesions

Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, performed by halving images by several lines through the center of mass, and comparing the two halves in terms of color,...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferri, Massimo, Stanganelli, Ignazio
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838225/
https://www.ncbi.nlm.nih.gov/pubmed/20300598
http://dx.doi.org/10.1155/2010/621357
_version_ 1782178867220316160
author Ferri, Massimo
Stanganelli, Ignazio
author_facet Ferri, Massimo
Stanganelli, Ignazio
author_sort Ferri, Massimo
collection PubMed
description Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, performed by halving images by several lines through the center of mass, and comparing the two halves in terms of color, mass distribution, and boundary. The program is used, at clinical level, with two thresholds, so that comparison of the two outputs produces a report of low-middle-high risk. Experimental results on 977 images, with cross-validation, are reported.
format Text
id pubmed-2838225
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-28382252010-03-18 Size Functions for the Morphological Analysis of Melanocytic Lesions Ferri, Massimo Stanganelli, Ignazio Int J Biomed Imaging Research Article Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, performed by halving images by several lines through the center of mass, and comparing the two halves in terms of color, mass distribution, and boundary. The program is used, at clinical level, with two thresholds, so that comparison of the two outputs produces a report of low-middle-high risk. Experimental results on 977 images, with cross-validation, are reported. Hindawi Publishing Corporation 2010 2010-03-14 /pmc/articles/PMC2838225/ /pubmed/20300598 http://dx.doi.org/10.1155/2010/621357 Text en Copyright © 2010 M. Ferri and I. Stanganelli. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ferri, Massimo
Stanganelli, Ignazio
Size Functions for the Morphological Analysis of Melanocytic Lesions
title Size Functions for the Morphological Analysis of Melanocytic Lesions
title_full Size Functions for the Morphological Analysis of Melanocytic Lesions
title_fullStr Size Functions for the Morphological Analysis of Melanocytic Lesions
title_full_unstemmed Size Functions for the Morphological Analysis of Melanocytic Lesions
title_short Size Functions for the Morphological Analysis of Melanocytic Lesions
title_sort size functions for the morphological analysis of melanocytic lesions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838225/
https://www.ncbi.nlm.nih.gov/pubmed/20300598
http://dx.doi.org/10.1155/2010/621357
work_keys_str_mv AT ferrimassimo sizefunctionsforthemorphologicalanalysisofmelanocyticlesions
AT stanganelliignazio sizefunctionsforthemorphologicalanalysisofmelanocyticlesions

Ejemplares similares