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
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/9905 |
| Date | 19 January 2018 |
| Creators | García Ríos, Emilio Rafael |
| Contributors | Beltrán Castañón, César Armando |
| Publisher | Pontificia Universidad Católica del Perú, PE |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | Pontificia Universidad Católica del Perú, Repositorio de Tesis - PUCP |
| Rights | Atribución-NoComercial-SinDerivadas 2.5 Perú, info:eu-repo/semantics/openAccess, http://creativecommons.org/licenses/by-nc-nd/2.5/pe/ |
Page generated in 0.0025 seconds