Automatic lymphocyte detection on gastric cancer IHC images using deep learning
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...
| Autor Principal: | García Ríos, Emilio Rafael |
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| Formato: | info:eu-repo/semantics/masterThesis |
| Idioma: | Inglés |
| Publicado: |
Pontificia Universidad Católica del Perú
2018
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| Materias: | |
| Acceso en línea: |
http://tesis.pucp.edu.pe/repositorio/handle/123456789/9905 |
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| Sumario: |
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. |
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