Title
Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning
Date Issued
10 November 2017
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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.
Start page
200
End page
204
Volume
2017-June
Language
English
OCDE Knowledge area
Oncología
Gastroenterología, Hepatología
Subjects
Scopus EID
2-s2.0-85040373118
Source
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Resource of which it is part
Proceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN of the container
10637125
ISBN of the container
9781538617106
Conference
10 November 2017 Article number 8104187 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017Thessaloniki22 June 2017 through 24 June 2017
Sources of information:
Directorio de Producción Científica
Scopus