Publicação
Deep learning in the identification of psoriatic skin lesions
| Resumo: | 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. |
|---|---|
| Autores principais: | Lima, Gabriel Lenin Silva |
| Outros Autores: | Pires, Carolina; Beuren, Arlete Teresinha; Lopes, Rui Pedro |
| Assunto: | Image processing Deep learning Psoriasis classification Mobile application |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172953905430528 |
|---|---|
| author | Lima, Gabriel Lenin Silva |
| author2 | Pires, Carolina Beuren, Arlete Teresinha Lopes, Rui Pedro |
| author2_role | author author author |
| author_facet | Lima, Gabriel Lenin Silva Pires, Carolina Beuren, Arlete Teresinha Lopes, Rui Pedro |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Lima, Gabriel Lenin Silva\"},{\"Person.name\":\"Pires, Carolina\"},{\"Person.name\":\"Beuren, Arlete Teresinha\"},{\"Person.name\":\"Lopes, Rui Pedro\",\"Person.identifier.orcid\":\"0000-0002-9170-5078\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Lima, Gabriel Lenin Silva Pires, Carolina Beuren, Arlete Teresinha Lopes, Rui Pedro |
| datacite.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-03-11T09:20:12Z |
| datacite.date.embargoed.fl_str_mv | 2024-03-11T09:20:12Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Image processing Deep learning Psoriasis classification Mobile application |
| datacite.titles.title.fl_str_mv | Deep learning in the identification of psoriatic skin lesions |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Lima, Gabriel Lenin Silva Pires, Carolina Beuren, Arlete Teresinha Lopes, Rui Pedro |
| dc.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-03-11T09:20:12Z |
| dc.date.embargoed.fl_str_mv | 2024-03-11T09:20:12Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/29601 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Image processing Deep learning Psoriasis classification Mobile application |
| dc.title.fl_str_mv | Deep learning in the identification of psoriatic skin lesions |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | 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. |
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| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/665090bc-1cd5-4f60-9e7f-9241d672610f/download |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10198/29601 |
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| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
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| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Lima, Gabriel Lenin Silva Pires, Carolina Beuren, Arlete Teresinha Lopes, Rui Pedro Lopes, Rui Pedro https://www.ciencia-id.pt/8E14-54E4-4DB5 8E14-54E4-4DB5 http://orcid.org/0000-0002-9170-5078 0000-0002-9170-5078 |
| publishDate | 2024 |
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| spelling | engpt_PTPsoriasis 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.application/pdfpt_PTDeep learning in the identification of psoriatic skin lesionsLima, Gabriel Lenin SilvaPires, CarolinaBeuren, Arlete TeresinhaPersonalLopes, Rui PedroDSpacehttp://dspace.org/items/e1e64423-0ec8-46ee-be96-33205c7c98a9DSpacehttp://dspace.org/items/e1e64423-0ec8-46ee-be96-33205c7c98a9LopesRui PedroCiência IDhttps://www.ciencia-id.pt8E14-54E4-4DB5ORCIDhttp://orcid.org0000-0002-9170-5078HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-3-031-49017-0DOIIsPartOf10.1007/978-3-031-49018-7_222024-03-11T09:20:12Z20242024-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/29601http://purl.org/coar/access_right/c_16ecrestricted accessImage processingDeep learningPsoriasis classificationMobile application2126285 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2024http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/665090bc-1cd5-4f60-9e7f-9241d672610f/downloadProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP)14469298313 |
| spellingShingle | Deep learning in the identification of psoriatic skin lesions Lima, Gabriel Lenin Silva Image processing Deep learning Psoriasis classification Mobile application |
| status | SINGLETON |
| subject.fl_str_mv | Image processing Deep learning Psoriasis classification Mobile application |
| title | Deep learning in the identification of psoriatic skin lesions |
| title_full | Deep learning in the identification of psoriatic skin lesions |
| title_fullStr | Deep learning in the identification of psoriatic skin lesions |
| title_full_unstemmed | Deep learning in the identification of psoriatic skin lesions |
| title_short | Deep learning in the identification of psoriatic skin lesions |
| title_sort | Deep learning in the identification of psoriatic skin lesions |
| topic | Image processing Deep learning Psoriasis classification Mobile application |
| topic_facet | Image processing Deep learning Psoriasis classification Mobile application |
| url | http://hdl.handle.net/10198/29601 |
| visible | 1 |