Automatic lymphocyte detection on gastric cancer IHC images using deep learning

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 e...

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Bibliographic Details
Main Author: García Ríos, Emilio Rafael
Other Authors: Beltrán Castañon, César Armando
Format: Dissertation
Language:English
Published: Pontificia Universidad Católica del Perú 2018
Subjects:
Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
Online Access:http://tesis.pucp.edu.pe/repositorio/handle/123456789/9905
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spelling ndltd-PUCP-oai-tesis.pucp.edu.pe-123456789-99052019-02-28T15:56:16Z Automatic lymphocyte detection on gastric cancer IHC images using deep learning García Ríos, Emilio Rafael Beltrán Castañon, César Armando Cáncer Gastroenterología Aprendizaje automático (Inteligencia artificial) 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. Tesis 2018-01-19T21:32:22Z 2018-01-19T21:32:22Z 2017 2018-01-19 info:eu-repo/semantics/masterThesis http://tesis.pucp.edu.pe/repositorio/handle/123456789/9905 eng info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 2.5 Perú http://creativecommons.org/licenses/by-nc-nd/2.5/pe/ application/pdf Pontificia Universidad Católica del Perú Pontificia Universidad Católica del Perú Repositorio de Tesis - PUCP
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
spellingShingle Cáncer
Gastroenterología
Aprendizaje automático (Inteligencia artificial)
García Ríos, Emilio Rafael
Automatic lymphocyte detection on gastric cancer IHC images using deep learning
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. === Tesis
author2 Beltrán Castañon, César Armando
author_facet Beltrán Castañon, César Armando
García Ríos, Emilio Rafael
author García Ríos, Emilio Rafael
author_sort García Ríos, Emilio Rafael
title Automatic lymphocyte detection on gastric cancer IHC images using deep learning
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
publisher Pontificia Universidad Católica del Perú
publishDate 2018
url http://tesis.pucp.edu.pe/repositorio/handle/123456789/9905
work_keys_str_mv AT garciariosemiliorafael automaticlymphocytedetectionongastriccancerihcimagesusingdeeplearning
_version_ 1718985836850053120

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