Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis

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dc.contributor.authorGarcía Arroyo, José Luis
dc.contributor.authorGarcía-Zapirain, Begoña
dc.date.accessioned2026-05-07T10:56:58Z
dc.date.available2026-05-07T10:56:58Z
dc.date.issued2014-01
dc.date.updated2026-05-07T10:56:58Z
dc.description.abstractBy means of this study, a detection algorithm for the "pigment network" in dermoscopic images is presented, one of the most relevant indicators in the diagnosis of melanoma. The design of the algorithm consists of two blocks. In the first one, a machine learning process is carried out, allowing the generation of a set of rules which, when applied over the image, permit the construction of a mask with the pixels candidates to be part of the pigment network. In the second block, an analysis of the structures over this mask is carried out, searching for those corresponding to the pigment network and making the diagnosis, whether it has pigment network or not, and also generating the mask corresponding to this pattern, if any. The method was tested against a database of 220 images, obtaining 86% sensitivity and 81.67% specificity, which proves the reliability of the algorithm. © 2013 The Authors.en
dc.description.sponsorshipThis research was partially supported by the Basque Government Department of Education (eVIDA Certified Group IT579-13).en
dc.identifier.citationGarcía Arroyo, J. L., & García Zapirain, B. (2014). Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis. Computers in Biology and Medicine, 44(1), 144-157. https://doi.org/10.1016/J.COMPBIOMED.2013.11.002
dc.identifier.doi10.1016/J.COMPBIOMED.2013.11.002
dc.identifier.eissn1879-0534
dc.identifier.issn0010-4825
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5887
dc.language.isoeng
dc.rights© 2013 The Authors
dc.subject.otherMachine learning
dc.subject.otherMelanoma
dc.subject.otherPigment network
dc.subject.otherReticular pattern
dc.subject.otherStructural analysis
dc.titleDetection of pigment network in dermoscopy images using supervised machine learning and structural analysisen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage157
oaire.citation.issue1
oaire.citation.startPage144
oaire.citation.titleComputers in Biology and Medicine
oaire.citation.volume44
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/3.0/
oaire.versionVoR
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