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Classification of reticular pattern and streaks in dermoscopic images based on texture analysis

datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorMachado, Marlene
dc.contributor.authorPereira, Jorge
dc.contributor.authorFonseca-Pinto, Rui
dc.date.accessioned2025-05-26T14:13:39Z
dc.date.available2025-05-26T14:13:39Z
dc.date.issued2015
dc.descriptionArticle number 044503.
dc.description.abstractThe early detection of melanoma is one of the greatest challenges in clinical practice of dermatology, and the reticular pattern is one of the most important dermoscopic structures to improve melanocytic lesion diagnosis. A texture-based approach is developed for the automatic detection of reticular patterns, whose output will assist clinical decision-making. Feature selection was based on the use of two algorithms by means of the classical graylevel co-occurrence matrix and Laws energy masks optimized on a set of 104 dermoscopy images. The AdaBoost (adaptive boosting) approach to machine learning was used within this strategy. Results suggest superiority of LEM for reticular pattern detection in dermoscopic images, achieving a sensitivity of 90.16% and a specificity of 86.67%. The use of automatic classification in dermoscopy to support clinicians is a strong tool to assist diagnosis; however, the use of automatic classification as a complementary tool in clinical routine requires algorithms with high levels of sensitivity and specificity. The results presented in this work will contribute to achieving this goal.eng
dc.description.sponsorshipAcknowledgments: This work was supported in part by project DERMCALSS, grant Nos. CENTRO-07-ST24-FEDER-002022 and PEst-OE/EEI/LA0008/2013.
dc.identifier.citationMachado, M., Pereira, J., & Fonseca-Pinto, R. (2015). Classification of reticular pattern and streaks in dermoscopic images based on texture analysis. Journal of Medical Imaging (Bellingham, Wash.), 2(4), 044503–044503. https://doi.org/10.1117/1.JMI.2.4.044503
dc.identifier.doi10.1117/1.jmi.2.4.044503
dc.identifier.issn2329-4302
dc.identifier.urihttp://hdl.handle.net/10400.8/12986
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSociety of Photo-optical Instrumentation Engineers
dc.relationStrategic Project - LA 8 - 2013-2014
dc.relationPEst-OE/EEI/LA0008/2013
dc.relation.hasversionhttps://pubmed.ncbi.nlm.nih.gov/26719848/
dc.relation.ispartofJournal of Medical Imaging
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectpattern recognition
dc.subjectmelanoma
dc.subjectreticular pattern
dc.subjectdermoscopy
dc.titleClassification of reticular pattern and streaks in dermoscopic images based on texture analysiseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - LA 8 - 2013-2014
oaire.awardURIhttp://hdl.handle.net/10400.8/12984
oaire.citation.issue4
oaire.citation.titleJournal of Medical Imaging
oaire.citation.volume2
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMachado
person.familyNameFonseca-Pinto
person.givenNameMarlene
person.givenNameRui
person.identifier.ciencia-id681D-C547-B184
person.identifier.orcid0000-0001-9644-1326
person.identifier.orcid0000-0001-6774-5363
person.identifier.ridK-9449-2014
person.identifier.scopus-author-id26039086400
relation.isAuthorOfPublicationd830ccb5-f8fc-4300-940d-f4df2fc9387c
relation.isAuthorOfPublication7eb9d123-1800-4afd-a2f6-91043353011b
relation.isAuthorOfPublication.latestForDiscoveryd830ccb5-f8fc-4300-940d-f4df2fc9387c
relation.isProjectOfPublication5ff93f54-75ba-48da-8a10-c54ab3a373f5
relation.isProjectOfPublication.latestForDiscovery5ff93f54-75ba-48da-8a10-c54ab3a373f5

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