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 examin...

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Bibliographic Details
Main Authors: Garcia, Emilio, Hermoza, Renato, Beltran Castanon, Cesar, Cano, Luis, Castillo, Miluska, Castanneda, Carlos
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Cancer
cell detection
Data models
deep learning
gastric cancer
Immune system
immunohistochemistry
Machine learning
Neural networks
Training
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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.
ISSN:2372-9198
DOI:10.1109/CBMS.2017.94