Publication
Deep learning in the identification of psoriatic skin lesions
| dc.contributor.author | Lima, Gabriel Lenin Silva | |
| dc.contributor.author | Pires, Carolina | |
| dc.contributor.author | Beuren, Arlete Teresinha | |
| dc.contributor.author | Lopes, Rui Pedro | |
| dc.date.accessioned | 2024-03-11T09:20:12Z | |
| dc.date.available | 2024-03-11T09:20:12Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Psoriasis is a dermatological lesion that manifests in several regions of the body. Its late diagnosis can generate the aggravation of the disease itself, as well as of the comorbidities associated with it. The proposed work presents a computational system for image classification in smartphones, through deep convolutional neural networks, to assist the process of diagnosis of psoriasis. The dataset and the classification algorithms used revealed that the classification of psoriasis lesions was most accurate with unsegmented and unprocessed images, indicating that deep learning networks are able to do a good feature selection. Smaller models have a lower accuracy, although they are more adequate for environments with power and memory restrictions, such as smartphones. | pt_PT |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Lima, Gabriel Lenin Silva; Pires, Carolina; Beuren, Arlete Teresinha; Lopes, Rui Pedro (2024). Deep learning in the identification of psoriatic skin lesions. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP). Cham: Springer. 14469, p. 298-313. ISBN 978-3-031-49017-0 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-031-49018-7_22 | pt_PT |
| dc.identifier.isbn | 978-3-031-49017-0 | |
| dc.identifier.uri | http://hdl.handle.net/10198/29601 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.relation | LA/P/0007/2021 | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Image processing | pt_PT |
| dc.subject | Deep learning | pt_PT |
| dc.subject | Psoriasis classification | pt_PT |
| dc.subject | Mobile application | pt_PT |
| dc.title | Deep learning in the identification of psoriatic skin lesions | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.endPage | 313 | pt_PT |
| oaire.citation.startPage | 298 | pt_PT |
| oaire.citation.title | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP) | pt_PT |
| oaire.citation.volume | 14469 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Lopes | |
| person.givenName | Rui Pedro | |
| person.identifier.ciencia-id | 8E14-54E4-4DB5 | |
| person.identifier.orcid | 0000-0002-9170-5078 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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