Session

Friday, June 23, 2017 - 09:00 to 18:45
Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning
Abstract: 
Tumor infiltrating immune cells in cancer, such as lymphocytes, have been studied in last years and evidence shows them to be related with the disease prognosis. Knowing the distribution and localization of these cells is of especial interest for pathologists and nowadays involves manual counting on Immunohistochemistry (IHC) Images. This work presents a model based on Deep Convolutional Neural Networks to automatically detect and count lymphocytes on IHC Images of gastric cancer as well as an lymphocyte images database for future work.
Emilio Garcia's picture
Emilio Garcia
Renato Hermoza's picture
Renato Hermoza
Pontifical Catholic University of Peru (PE)
Cesar Beltran Castanon's picture
Cesar Beltran Castanon
Pontificia Universidad Católica del Perú (PE)
Luis Cano's picture
Luis Cano
Miluska Castillo's picture
Miluska Castillo
Carlos Castanñeda's picture
Carlos Castanñeda