Extended Model for the Early Skin Cancer Detection Using Image Processing

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Poma, Jonathan Miguel Campos, Dominguez, Emily Yanira De La Cruz, Armas-Aguirre, Jimmy, Gonzalez, Leonor Gutierrez
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656579
Enlace del recurso:http://hdl.handle.net/10757/656579
Nivel de acceso:acceso embargado
Materia:image processing
melanoma
mobile device
skin cancer
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oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/656579
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Extended Model for the Early Skin Cancer Detection Using Image Processing
title Extended Model for the Early Skin Cancer Detection Using Image Processing
spellingShingle Extended Model for the Early Skin Cancer Detection Using Image Processing
Poma, Jonathan Miguel Campos
image processing
melanoma
mobile device
skin cancer
title_short Extended Model for the Early Skin Cancer Detection Using Image Processing
title_full Extended Model for the Early Skin Cancer Detection Using Image Processing
title_fullStr Extended Model for the Early Skin Cancer Detection Using Image Processing
title_full_unstemmed Extended Model for the Early Skin Cancer Detection Using Image Processing
title_sort Extended Model for the Early Skin Cancer Detection Using Image Processing
author Poma, Jonathan Miguel Campos
author_facet Poma, Jonathan Miguel Campos
Dominguez, Emily Yanira De La Cruz
Armas-Aguirre, Jimmy
Gonzalez, Leonor Gutierrez
author_role author
author2 Dominguez, Emily Yanira De La Cruz
Armas-Aguirre, Jimmy
Gonzalez, Leonor Gutierrez
author2_role author
author
author
dc.contributor.author.fl_str_mv Poma, Jonathan Miguel Campos
Dominguez, Emily Yanira De La Cruz
Armas-Aguirre, Jimmy
Gonzalez, Leonor Gutierrez
dc.subject.en_US.fl_str_mv image processing
melanoma
mobile device
skin cancer
topic image processing
melanoma
mobile device
skin cancer
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-06-23T13:59:29Z
dc.date.available.none.fl_str_mv 2021-06-23T13:59:29Z
dc.date.issued.fl_str_mv 2020-06-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 21660727
dc.identifier.doi.none.fl_str_mv 10.23919/CISTI49556.2020.9140952
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656579
dc.identifier.eissn.none.fl_str_mv 21660735
dc.identifier.journal.en_US.fl_str_mv Iberian Conference on Information Systems and Technologies, CISTI
dc.identifier.eid.none.fl_str_mv 2-s2.0-85089019218
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85089019218
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21660727
10.23919/CISTI49556.2020.9140952
21660735
Iberian Conference on Information Systems and Technologies, CISTI
2-s2.0-85089019218
SCOPUS_ID:85089019218
0000 0001 2196 144X
url http://hdl.handle.net/10757/656579
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://ieeexplore.ieee.org/document/9140952
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv IEEE Computer Society
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Iberian Conference on Information Systems and Technologies, CISTI
dc.source.volume.none.fl_str_mv 2020-June
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656579/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
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spelling ed8a7fb92536db5f5c33e922689c4dfc3007e261bbd54a7e42da9521b1a2c210e0b3004832ce656228b995761b32f4527dfa585812f95b852667ba00d8e0cbe7495045300Poma, Jonathan Miguel CamposDominguez, Emily Yanira De La CruzArmas-Aguirre, JimmyGonzalez, Leonor Gutierrez2021-06-23T13:59:29Z2021-06-23T13:59:29Z2020-06-012166072710.23919/CISTI49556.2020.9140952http://hdl.handle.net/10757/65657921660735Iberian Conference on Information Systems and Technologies, CISTI2-s2.0-85089019218SCOPUS_ID:850890192180000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.In this research paper, we proposed an extended model for the early detection of skin cancer... The purpose is reduce the waiting time to obtaining a diagnosis, in addition, the function of the dermatoscope has been digitized by using a Smartphone and magnifying lenses as an accessory the mobile device. The proposed model has five phases: 1. The patient is attended by a general practitioner or nurse previously trained in any health center which has WiFi or mobile network connectivity to record their data and capture the skin lesion that will be analyzed. 2) The image will be in the cloud storage, which at the same time feeds an exclusive access website of dermatologists.3) Images are analyzed in real time using an image recognition service provided by IBM, which is integrated into a cloud-hosted web platform and an-Android application. 4)The result of the image processing is visualized by the dermatologist who makes a remote diagnosis.5) This diagnosis is received by the general practitioner or nurse, responsible for transmitting the diagnosis and treatment to the patient. This model was validated in a group of 60 patients, where 28 suffer from skin cancer in the early stage, 12 in the late stage and 20 are healthy patients, in a network of clinics in Lima, Peru. The obtained result was 97.5% of assertiveness on the analyzed skin lesions and 95% in healthy patients.Revisión por paresapplication/htmlengIEEE Computer Societyhttps://ieeexplore.ieee.org/document/9140952info:eu-repo/semantics/embargoedAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Iberian Conference on Information Systems and Technologies, CISTI2020-Junereponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCimage processingmelanomamobile deviceskin cancerExtended Model for the Early Skin Cancer Detection Using Image Processinginfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656579/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656579oai:repositorioacademico.upc.edu.pe:10757/6565792021-06-23 13:59:30.627Repositorio académico upcupc@openrepository.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Extended Model for the Early Skin Cancer Detection Using Image Processing
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