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,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2010/621357 |
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| _version_ | 1832556004124917760 |
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| author | Massimo Ferri Ignazio Stanganelli |
| author_facet | Massimo Ferri Ignazio Stanganelli |
| author_sort | Massimo Ferri |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-987a2a05d1ca4b259bf07f66ce86f3b5 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-987a2a05d1ca4b259bf07f66ce86f3b52025-02-03T05:46:40ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962010-01-01201010.1155/2010/621357621357Size Functions for the Morphological Analysis of Melanocytic LesionsMassimo Ferri0Ignazio Stanganelli1Department of Mathematics, The Advanced Research Center on Electronic Systems for Information and Communication Technologies E. De Castro (ARCES), University of Bologna, 40126 Bologna, ItalyDermatologia Oncologica, Istituto Tumori Romagna (IRST), 47014 Meldola, FC, ItalySize 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.http://dx.doi.org/10.1155/2010/621357 |
| spellingShingle | Massimo Ferri Ignazio Stanganelli Size Functions for the Morphological Analysis of Melanocytic Lesions International Journal of Biomedical Imaging |
| 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 |
| url | http://dx.doi.org/10.1155/2010/621357 |
| work_keys_str_mv | AT massimoferri sizefunctionsforthemorphologicalanalysisofmelanocyticlesions AT ignaziostanganelli sizefunctionsforthemorphologicalanalysisofmelanocyticlesions |