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Automated Dermoscopy Image Analysis of Pigmented Skin Lesions
Dermoscopy (dermatoscopy, epiluminescence microscopy) is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions (PSLs), allowing a better visualization of surface and subsurface structures (from the epidermis to the papillary dermis). This diagnostic tool permits t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835078/ https://www.ncbi.nlm.nih.gov/pubmed/24281070 http://dx.doi.org/10.3390/cancers2020262 |
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author | Baldi, Alfonso Quartulli, Marco Murace, Raffaele Dragonetti, Emanuele Manganaro, Mario Guerra, Oscar Bizzi, Stefano |
author_facet | Baldi, Alfonso Quartulli, Marco Murace, Raffaele Dragonetti, Emanuele Manganaro, Mario Guerra, Oscar Bizzi, Stefano |
author_sort | Baldi, Alfonso |
collection | PubMed |
description | Dermoscopy (dermatoscopy, epiluminescence microscopy) is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions (PSLs), allowing a better visualization of surface and subsurface structures (from the epidermis to the papillary dermis). This diagnostic tool permits the recognition of morphologic structures not visible by the naked eye, thus opening a new dimension in the analysis of the clinical morphologic features of PSLs. In order to reduce the learning-curve of non-expert clinicians and to mitigate problems inherent in the reliability and reproducibility of the diagnostic criteria used in pattern analysis, several indicative methods based on diagnostic algorithms have been introduced in the last few years. Recently, numerous systems designed to provide computer-aided analysis of digital images obtained by dermoscopy have been reported in the literature. The goal of this article is to review these systems, focusing on the most recent approaches based on content-based image retrieval systems (CBIR). |
format | Online Article Text |
id | pubmed-3835078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International |
record_format | MEDLINE/PubMed |
spelling | pubmed-38350782013-11-21 Automated Dermoscopy Image Analysis of Pigmented Skin Lesions Baldi, Alfonso Quartulli, Marco Murace, Raffaele Dragonetti, Emanuele Manganaro, Mario Guerra, Oscar Bizzi, Stefano Cancers (Basel) Review Dermoscopy (dermatoscopy, epiluminescence microscopy) is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions (PSLs), allowing a better visualization of surface and subsurface structures (from the epidermis to the papillary dermis). This diagnostic tool permits the recognition of morphologic structures not visible by the naked eye, thus opening a new dimension in the analysis of the clinical morphologic features of PSLs. In order to reduce the learning-curve of non-expert clinicians and to mitigate problems inherent in the reliability and reproducibility of the diagnostic criteria used in pattern analysis, several indicative methods based on diagnostic algorithms have been introduced in the last few years. Recently, numerous systems designed to provide computer-aided analysis of digital images obtained by dermoscopy have been reported in the literature. The goal of this article is to review these systems, focusing on the most recent approaches based on content-based image retrieval systems (CBIR). Molecular Diversity Preservation International 2010-03-26 /pmc/articles/PMC3835078/ /pubmed/24281070 http://dx.doi.org/10.3390/cancers2020262 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Baldi, Alfonso Quartulli, Marco Murace, Raffaele Dragonetti, Emanuele Manganaro, Mario Guerra, Oscar Bizzi, Stefano Automated Dermoscopy Image Analysis of Pigmented Skin Lesions |
title | Automated Dermoscopy Image Analysis of Pigmented Skin Lesions |
title_full | Automated Dermoscopy Image Analysis of Pigmented Skin Lesions |
title_fullStr | Automated Dermoscopy Image Analysis of Pigmented Skin Lesions |
title_full_unstemmed | Automated Dermoscopy Image Analysis of Pigmented Skin Lesions |
title_short | Automated Dermoscopy Image Analysis of Pigmented Skin Lesions |
title_sort | automated dermoscopy image analysis of pigmented skin lesions |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835078/ https://www.ncbi.nlm.nih.gov/pubmed/24281070 http://dx.doi.org/10.3390/cancers2020262 |
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