Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning

Emilio Garcia, Renato Hermoza, Cesar Beltran Castanon, Luis Cano, Miluska Castillo, Carlos Castanneda

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

56 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
EditoresPanagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas200-204
Número de páginas5
ISBN (versión digital)9781538617106
DOI
EstadoPublicada - 10 nov. 2017
Evento30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Grecia
Duración: 22 jun. 201724 jun. 2017

Serie de la publicación

NombreProceedings - IEEE Symposium on Computer-Based Medical Systems
Volumen2017-June
ISSN (versión impresa)1063-7125

Conferencia

Conferencia30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
País/TerritorioGrecia
CiudadThessaloniki
Período22/06/1724/06/17

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