Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático

Autores:: Herrera-Bravo, Iván-Santiago
Ordoñez-Erazo, Hugo-Armando
Avila-George, Himer

Tipo de recurso:: Article of journal

Fecha de publicación:: 2024

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.es-ES.fl_str_mv	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
title	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
spellingShingle	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático Explainable artificial intelligence (XAI) Melanoma Classification Dermatoscopic images Inteligencia artificial explicable Melanoma Clasificación Imágenes dermatoscopicas
title_short	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
title_full	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
title_fullStr	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
title_full_unstemmed	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
title_sort	Clasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemático
dc.creator.fl_str_mv	Herrera-Bravo, Iván-Santiago Ordoñez-Erazo, Hugo-Armando Avila-George, Himer
dc.contributor.author.eng.fl_str_mv	Herrera-Bravo, Iván-Santiago Ordoñez-Erazo, Hugo-Armando Avila-George, Himer
dc.subject.none.fl_str_mv	Explainable artificial intelligence (XAI) Melanoma Classification Dermatoscopic images Inteligencia artificial explicable Melanoma Clasificación Imágenes dermatoscopicas
topic	Explainable artificial intelligence (XAI) Melanoma Classification Dermatoscopic images Inteligencia artificial explicable Melanoma Clasificación Imágenes dermatoscopicas
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-08-29 21:27:51 2026-04-16T17:47:38Z
dc.date.available.none.fl_str_mv	2024-08-29 21:27:51
dc.date.issued.none.fl_str_mv	2024-08-29
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	10.19053/uptc.01211129.v33.n69.2024.18060
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Lee, “Dermatoscopy,” Clinics in Dermatology, vol. 39, no. 4, pp. 635-642, 2021. https://doi.org/10.1016/j.clindermatol.2021.03.009 International Skin Imaging Collaboration (ISIC), Overview of the ISIC Collaboration, 2023. https://www.isic-archive.com/mission M. A. Kassem, K. M. Hosny, R. Damaševičius, M. M. Eltoukhy, “Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review,” Diagnostics, vol. 11, no. 8, e1390, 2021. https://doi.org/10.3390/diagnostics11081390 J. P. Jeyakumar, A. Jude, A. G. Priya, J. Hemanth, “A Survey on Computer-Aided Intelligent Methods to Identify and Classify Skin Cancer,” Informatics, vol. 9, no. 4, e99, 2022. https://doi.org/10.3390/informatics9040099 F. Stieler, F. Rabe, B. 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dc.rights.none.fl_str_mv	Iván-Santiago Herrera-Bravo, Hugo-Armando Ordoñez-Erazo, Himer Avila-George - 2024
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spelling	Herrera-Bravo, Iván-SantiagoOrdoñez-Erazo, Hugo-ArmandoAvila-George, Himer2024-08-29 21:27:512026-04-16T17:47:38Z2024-08-29 21:27:512024-08-290121-1129https://repositorio.uptc.edu.co/handle/001/2158810.19053/uptc.01211129.v33.n69.2024.180602357-5328https://doi.org/10.19053/uptc.01211129.v33.n69.2024.18060application/pdftext/xmlUniversidad Pedagógica y Tecnológica de ColombiaIván-Santiago Herrera-Bravo, Hugo-Armando Ordoñez-Erazo, Himer Avila-George - 2024https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ingenieria/article/view/18060Explainable artificial intelligence (XAI)MelanomaClassificationDermatoscopic imagesInteligencia artificial explicableMelanomaClasificaciónImágenes dermatoscopicasClasificación explicable de imágenes dermatoscópicas para la detección de cáncer de piel tipo melanoma: un mapeo sistemáticoArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85S. M. Schwartz, “Epidemiology of Cancer,” Clinical Chemistry, vol. 70, no. 1, pp. 140-149, 2024. https://doi.org/10.1093/clinchem/hvad202A. V. Ospina Serrano et al., “Clinical Outcomes and Prognostic Factors of Patients with Early Malignant Melanoma in One Latin American Country: Results of the Epidemiological Registry of Malignant Melanoma in Colombia Study,” JCO Global Oncology, vol. 9, no. 9, e2200377, 2023. https://doi.org/10.1200/go.22.00377S. Waseh, J. B. Lee, “Advances in melanoma: epidemiology, diagnosis, and prognosis,” Frontiers in Medicine (Lausanne), vol. 10, 2023. https://doi.org/10.3389/fmed.2023.1268479S. A. Syed et al., “Registration based fully optimized melanoma detection using deep forest technique,” Biomed Signal Process Control, vol. 93, e106116, 2024. https://doi.org/10.1016/j.bspc.2024.106116Ministerio de Salud y Protección Social de Colombia, Vicesalud destacó acciones de Colombia frente al cáncer de piel, 2020. https://www.minsalud.gov.co/Paginas/Vicesalud-destaco-acciones-de-Colombia-frente-al-cancer-de-piel.aspxInstituto Nacional de Cancerología, Anuario estadístico 2020. Bogotá: INC, 2021.Instituto Nacional de Cancerología, Anuario estadístico 2021, Bogotá: INC, 2022.Instituto Nacional de Cancerología, Anuario estadístico 2022, Bogotá: INC, 2023.E. de Vries, C. Uribe, C. C. Beltrán Rodríguez, A. Caparros, E. Meza, F. Gil, “Descriptive Epidemiology of Melanoma Diagnosed between 2010 and 2014 in a Colombian Cancer Registry and a Call for Improving Available Data on Melanoma in Latin America,” Cancers (Basel), vol. 15, no. 24, e5848, 2023. https://doi.org/10.3390/cancers15245848A. Ramírez, J. Chalela, J. Ramírez, “¿Cuántos dermatólogos hay en Colombia? Análisis de los datos de la Asociación Colombiana de Dermatología y Cirugía Dermatológica,” Revista de la Asociación Colombiana de Gerontología y Geriatría, vol. 20, no. 1, pp. 21-26, 2012.P. Ocampo, D. Restrepo, D. Cuéllar, Estimación de oferta de médicos especialistas en Colombia 1950-2030: Anexo Metodológico. Bogotá: Ministerio de Salud y Protección Social, 2018.P. Simón-Díaz et al., “Aplicaciones y uso del dermatoscopio en la dermatología general. Una revisión,” Dermatología Cosmética, Médica y Quirúrgica, vol. 14, no. 4, pp. 299-317, 2016.C. Ring, N. Cox, J. Lee, “Dermatoscopy,” Clinics in Dermatology, vol. 39, no. 4, pp. 635-642, 2021. https://doi.org/10.1016/j.clindermatol.2021.03.009International Skin Imaging Collaboration (ISIC), Overview of the ISIC Collaboration, 2023. https://www.isic-archive.com/missionM. A. Kassem, K. M. Hosny, R. Damaševičius, M. M. Eltoukhy, “Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review,” Diagnostics, vol. 11, no. 8, e1390, 2021. https://doi.org/10.3390/diagnostics11081390J. P. Jeyakumar, A. Jude, A. G. Priya, J. Hemanth, “A Survey on Computer-Aided Intelligent Methods to Identify and Classify Skin Cancer,” Informatics, vol. 9, no. 4, e99, 2022. https://doi.org/10.3390/informatics9040099F. Stieler, F. Rabe, B. 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