Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning

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

doi:10.1109/CBMS.2017.94

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 congreso › Contribución a la conferencia › revisión exhaustiva

59 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 original	Inglés
Título de la publicación alojada	Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
Editores	Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	200-204
Número de páginas	5
ISBN (versión digital)	9781538617106
DOI	https://doi.org/10.1109/CBMS.2017.94
Estado	Publicada - 10 nov. 2017
Evento	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Grecia Duración: 22 jun. 2017 → 24 jun. 2017

Serie de la publicación

Nombre	Proceedings - IEEE Symposium on Computer-Based Medical Systems
Volumen	2017-June
ISSN (versión impresa)	1063-7125

Conferencia

Conferencia	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
País/Territorio	Grecia
Ciudad	Thessaloniki
Período	22/06/17 → 24/06/17

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10.1109/CBMS.2017.94

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Garcia, E., Hermoza, R., Castanon, C. B., Cano, L., Castillo, M., & Castanneda, C. (2017). Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning. En P. D. Bamidis, S. T. Konstantinidis, & P. P. Rodrigues (Eds.), Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017 (pp. 200-204). Artículo 8104187 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2017-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2017.94

Garcia, Emilio ; Hermoza, Renato ; Castanon, Cesar Beltran et al. / Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning. Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. editor / Panagiotis D. Bamidis ; Stathis Th. Konstantinidis ; Pedro Pereira Rodrigues. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 200-204 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

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title = "Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning",

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.",

keywords = "cell detection, deep learning, gastric cancer, immunohistochemistry",

author = "Emilio Garcia and Renato Hermoza and Castanon, {Cesar Beltran} and Luis Cano and Miluska Castillo and Carlos Castanneda",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 ; Conference date: 22-06-2017 Through 24-06-2017",

year = "2017",

month = nov,

day = "10",

doi = "10.1109/CBMS.2017.94",

language = "English",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "200--204",

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Garcia, E, Hermoza, R, Castanon, CB, Cano, L, Castillo, M & Castanneda, C 2017, Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning. En PD Bamidis, ST Konstantinidis & PP Rodrigues (eds.), Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017., 8104187, Proceedings - IEEE Symposium on Computer-Based Medical Systems, vol. 2017-June, Institute of Electrical and Electronics Engineers Inc., pp. 200-204, 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Grecia, 22/06/17. https://doi.org/10.1109/CBMS.2017.94

Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning. / Garcia, Emilio; Hermoza, Renato; Castanon, Cesar Beltran et al.
Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. ed. / Panagiotis D. Bamidis; Stathis Th. Konstantinidis; Pedro Pereira Rodrigues. Institute of Electrical and Electronics Engineers Inc., 2017. p. 200-204 8104187 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2017-June).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning

AU - Garcia, Emilio

AU - Hermoza, Renato

AU - Castanon, Cesar Beltran

AU - Cano, Luis

AU - Castillo, Miluska

AU - Castanneda, Carlos

PY - 2017/11/10

Y1 - 2017/11/10

N2 - 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.

AB - 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.

KW - cell detection

KW - deep learning

KW - gastric cancer

KW - immunohistochemistry

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U2 - 10.1109/CBMS.2017.94

DO - 10.1109/CBMS.2017.94

M3 - Conference contribution

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BT - Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017

A2 - Bamidis, Panagiotis D.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Garcia E, Hermoza R, Castanon CB, Cano L, Castillo M, Castanneda C. Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning. En Bamidis PD, Konstantinidis ST, Rodrigues PP, editores, Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 200-204. 8104187. (Proceedings - IEEE Symposium on Computer-Based Medical Systems). doi: 10.1109/CBMS.2017.94

Automatic Lymphocyte Detection on Gastric Cancer IHC Images Using Deep Learning

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