Automatic Lymphocyte Detection on Gastric Cancer IHC Images using Deep Learning

被引：45
|
作者：
Garcia, Emilio [1 ]
Hermoza, Renato [1 ]
Beltran Castanon, Cesar [1 ]
Cano, Luis [2 ]
Castillo, Miluska [2 ]
Castaneda, Carlos [2 ]
机构：
[1] Pontificia Univ Catolica Peru, Dept Ingn, GRPIAA, Lima, Peru
[2] Inst Nacl Enfermedades Neoplas, Dept Invest, Lima, Peru
来源：
2017 IEEE 30TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) | 2017年
关键词：
cell detection; deep learning; immunohistochemistry; gastric cancer;
D O I：
10.1109/CBMS.2017.94
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：200 / 204
页数：5
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