Melanoma Classification

ABSTRACT : We presented our solution for the SIIM-ISIC melanoma classification challenge. This is a multi-class multi-modal classification model using images and metadata and, we tested both binary and multi-class image-only models and a binary multi-modal model. The keys to success for our solution...

Full description

Autores:
Gómez Giraldo, Oscar Nicolás
Arbeláez López, Néstor Iván
Tipo de recurso:
Tesis
Fecha de publicación:
2021
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/24997
Acceso en línea:
http://hdl.handle.net/10495/24997
Palabra clave:
Análisis de datos
Data analysis
Procesamiento de datos
Data processing
Melanoma
Melanoma
Multi-modal
Data augmentation
http://aims.fao.org/aos/agrovoc/c_4713
http://vocabularies.unesco.org/thesaurus/concept2214
http://vocabularies.unesco.org/thesaurus/concept522
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/2.5/co/
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dc.title.spa.fl_str_mv Melanoma Classification
title Melanoma Classification
spellingShingle Melanoma Classification
Análisis de datos
Data analysis
Procesamiento de datos
Data processing
Melanoma
Melanoma
Multi-modal
Data augmentation
http://aims.fao.org/aos/agrovoc/c_4713
http://vocabularies.unesco.org/thesaurus/concept2214
http://vocabularies.unesco.org/thesaurus/concept522
title_short Melanoma Classification
title_full Melanoma Classification
title_fullStr Melanoma Classification
title_full_unstemmed Melanoma Classification
title_sort Melanoma Classification
dc.creator.fl_str_mv Gómez Giraldo, Oscar Nicolás
Arbeláez López, Néstor Iván
dc.contributor.advisor.none.fl_str_mv Sepúlveda Cano, Lina María
dc.contributor.author.none.fl_str_mv Gómez Giraldo, Oscar Nicolás
Arbeláez López, Néstor Iván
dc.subject.unesco.none.fl_str_mv Análisis de datos
Data analysis
Procesamiento de datos
Data processing
topic Análisis de datos
Data analysis
Procesamiento de datos
Data processing
Melanoma
Melanoma
Multi-modal
Data augmentation
http://aims.fao.org/aos/agrovoc/c_4713
http://vocabularies.unesco.org/thesaurus/concept2214
http://vocabularies.unesco.org/thesaurus/concept522
dc.subject.agrovoc.none.fl_str_mv Melanoma
Melanoma
dc.subject.proposal.spa.fl_str_mv Multi-modal
Data augmentation
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_4713
dc.subject.unescouri.none.fl_str_mv http://vocabularies.unesco.org/thesaurus/concept2214
http://vocabularies.unesco.org/thesaurus/concept522
description ABSTRACT : We presented our solution for the SIIM-ISIC melanoma classification challenge. This is a multi-class multi-modal classification model using images and metadata and, we tested both binary and multi-class image-only models and a binary multi-modal model. The keys to success for our solution were the selection of the target variable, using the available metadata, and the data augmentation strategy. Achieving AUC values of 0.95 and F1 of 0.71 for the validation data.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-12-13T18:05:33Z
dc.date.available.none.fl_str_mv 2021-12-13T18:05:33Z
dc.date.issued.none.fl_str_mv 2021
dc.type.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Especialización
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/24997
url http://hdl.handle.net/10495/24997
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.publisher.spa.fl_str_mv Universidad de Antioquia
dc.publisher.place.spa.fl_str_mv Medellín
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería. Especialización en Analítica y Ciencia de Datos
institution Universidad de Antioquia
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spelling Sepúlveda Cano, Lina MaríaGómez Giraldo, Oscar NicolásArbeláez López, Néstor Iván2021-12-13T18:05:33Z2021-12-13T18:05:33Z2021http://hdl.handle.net/10495/24997ABSTRACT : We presented our solution for the SIIM-ISIC melanoma classification challenge. This is a multi-class multi-modal classification model using images and metadata and, we tested both binary and multi-class image-only models and a binary multi-modal model. The keys to success for our solution were the selection of the target variable, using the available metadata, and the data augmentation strategy. Achieving AUC values of 0.95 and F1 of 0.71 for the validation data.EspecializaciónEspecialista en Analítica y Ciencia de Datos6application/pdfengUniversidad de AntioquiaMedellínFacultad de Ingeniería. 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