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
Description
Summary: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

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