Automatic lymphocyte detection on gastric cancer IHC images using deep learning

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Tumor-infiltrating lymphocytes (TILs) have received considerable attention in recent years, as evidence suggests they are related to cancer prognosis. Distribution and localization of these and other types of immune cells are of special interest for pathologists, and frequently involve manual examin...

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Detalles Bibliográficos
Autor: García Ríos, Emilio Rafael
Formato: tesis de maestría
Fecha de Publicación:2017
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Tesis
Lenguaje:inglés
OAI Identifier:oai:tesis.pucp.edu.pe:20.500.12404/9905
Enlace del recurso:http://hdl.handle.net/20.500.12404/9905
Nivel de acceso:acceso abierto
Materia:Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
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dc.title.es_ES.fl_str_mv Automatic lymphocyte detection on gastric cancer IHC images using deep learning
title Automatic lymphocyte detection on gastric cancer IHC images using deep learning
spellingShingle Automatic lymphocyte detection on gastric cancer IHC images using deep learning
García Ríos, Emilio Rafael
Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
https://purl.org/pe-repo/ocde/ford#1.02.00
title_short Automatic lymphocyte detection on gastric cancer IHC images using deep learning
title_full Automatic lymphocyte detection on gastric cancer IHC images using deep learning
title_fullStr Automatic lymphocyte detection on gastric cancer IHC images using deep learning
title_full_unstemmed Automatic lymphocyte detection on gastric cancer IHC images using deep learning
title_sort Automatic lymphocyte detection on gastric cancer IHC images using deep learning
author García Ríos, Emilio Rafael
author_facet García Ríos, Emilio Rafael
author_role author
dc.contributor.advisor.fl_str_mv Beltrán Castañón, César Armando
dc.contributor.author.fl_str_mv García Ríos, Emilio Rafael
dc.subject.es_ES.fl_str_mv Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
topic Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
https://purl.org/pe-repo/ocde/ford#1.02.00
dc.subject.ocde.es_ES.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.02.00
description Tumor-infiltrating lymphocytes (TILs) have received considerable attention in recent years, as evidence suggests they are related to cancer prognosis. Distribution and localization of these and other types of immune cells are of special interest for pathologists, and frequently involve manual examination on Immunohistochemistry (IHC) Images. We present a model based on Deep Convolutional Neural Networks for Automatic lymphocyte detection on IHC images of gastric cancer. The dataset created as part of this work is publicly available for future research.
publishDate 2017
dc.date.created.es_ES.fl_str_mv 2017
dc.date.accessioned.es_ES.fl_str_mv 2018-01-19T21:32:22Z
dc.date.available.es_ES.fl_str_mv 2018-01-19T21:32:22Z
dc.date.issued.fl_str_mv 2018-01-19
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12404/9905
url http://hdl.handle.net/20.500.12404/9905
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.relation.ispartof.fl_str_mv SUNEDU
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/pe/
dc.publisher.es_ES.fl_str_mv Pontificia Universidad Católica del Perú
dc.publisher.country.es_ES.fl_str_mv PE
dc.source.none.fl_str_mv reponame:PUCP-Tesis
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instacron:PUCP
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instacron_str PUCP
institution PUCP
reponame_str PUCP-Tesis
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spelling Beltrán Castañón, César ArmandoGarcía Ríos, Emilio Rafael2018-01-19T21:32:22Z2018-01-19T21:32:22Z20172018-01-19http://hdl.handle.net/20.500.12404/9905Tumor-infiltrating lymphocytes (TILs) have received considerable attention in recent years, as evidence suggests they are related to cancer prognosis. Distribution and localization of these and other types of immune cells are of special interest for pathologists, and frequently involve manual examination on Immunohistochemistry (IHC) Images. We present a model based on Deep Convolutional Neural Networks for Automatic lymphocyte detection on IHC images of gastric cancer. 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Automatic lymphocyte detection on gastric cancer IHC images using deep learning
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