Automatic lymphocyte detection on gastric cancer IHC images using deep learning
Date
2018-01-19
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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.
Description
Keywords
Cáncer, Gastroenterología, Aprendizaje automático (Inteligencia artificial)
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Except where otherwised noted, this item's license is described as info:eu-repo/semantics/openAccess