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García, E., (2018). Automatic lymphocyte detection on gastric cancer IHC images using deep learning [Tesis, Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/9905
García, E., Automatic lymphocyte detection on gastric cancer IHC images using deep learning [Tesis]. PE: Pontificia Universidad Católica del Perú; 2018. http://hdl.handle.net/20.500.12404/9905
@mastersthesis{renati/537897,
title = "Automatic lymphocyte detection on gastric cancer IHC images using deep learning",
author = "García Ríos, Emilio Rafael",
publisher = "Pontificia Universidad Católica del Perú",
year = "2018"
}
Title: Automatic lymphocyte detection on gastric cancer IHC images using deep learning
Authors(s): García Ríos, Emilio Rafael
Advisor(s): Beltrán Castañón, César Armando
OCDE field: https://purl.org/pe-repo/ocde/ford#1.02.00
Issue Date: 19-Jan-2018
Institution: Pontificia Universidad Católica del Perú
Abstract: 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.
Link to repository: http://hdl.handle.net/20.500.12404/9905
Discipline: Informática con mención en Ciencias de la Computación
Grade or title grantor: Pontificia Universidad Católica del Perú. Escuela de Posgrado
Grade or title: Maestro en Informática con mención en Ciencias de la Computación
Register date: 19-Jan-2018
This item is licensed under a Creative Commons License
