Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

Chao Hui Huang; Daniel Racoceanu; Ludovic Roux; Thomas C. Putti

doi:10.1109/IJCNN.2010.5596972

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

Chao Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas C. Putti

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

8 Citas (Scopus)

Resumen

Bio-inspired computer vision is an emerging field. It aims to reproduce the capabilities of biological vision systems, eventually to simulate the visual functions for various purposes. In this paper, we propose a bio-inspired computer visual system using Graphical Processing Unit (GPU), and its application on breast cancer prognosis. The system extracts visual features from an input image using a mechanism which is similar to human visual system. Then classify the visual features using a machine learning algorithm. As a result, the elements of the input image, which might be related to particular knowledge concepts, can be identified.

Idioma original	Inglés
Título de la publicación alojada	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión impresa)	9781424469178
DOI	https://doi.org/10.1109/IJCNN.2010.5596972
Estado	Publicada - 2010
Publicado de forma externa	Sí
Evento	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Espana Duración: 18 jul. 2010 → 23 jul. 2010

Serie de la publicación

Nombre	Proceedings of the International Joint Conference on Neural Networks

Conferencia

Conferencia	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
País/Territorio	Espana
Ciudad	Barcelona
Período	18/07/10 → 23/07/10

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/IJCNN.2010.5596972

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Huang, C. H., Racoceanu, D., Roux, L., & Putti, T. C. (2010). Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis. En 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 Artículo 5596972 (Proceedings of the International Joint Conference on Neural Networks). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2010.5596972

Huang, Chao Hui ; Racoceanu, Daniel ; Roux, Ludovic et al. / Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL) : Application on breast cancer prognosis. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. (Proceedings of the International Joint Conference on Neural Networks).

@inproceedings{055fb8d28a9f4cc8ab2f72bd5d8902ce,

title = "Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis",

abstract = "Bio-inspired computer vision is an emerging field. It aims to reproduce the capabilities of biological vision systems, eventually to simulate the visual functions for various purposes. In this paper, we propose a bio-inspired computer visual system using Graphical Processing Unit (GPU), and its application on breast cancer prognosis. The system extracts visual features from an input image using a mechanism which is similar to human visual system. Then classify the visual features using a machine learning algorithm. As a result, the elements of the input image, which might be related to particular knowledge concepts, can be identified.",

author = "Huang, {Chao Hui} and Daniel Racoceanu and Ludovic Roux and Putti, {Thomas C.}",

year = "2010",

doi = "10.1109/IJCNN.2010.5596972",

language = "English",

isbn = "9781424469178",

series = "Proceedings of the International Joint Conference on Neural Networks",

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

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010",

note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 ; Conference date: 18-07-2010 Through 23-07-2010",

}

Huang, CH, Racoceanu, D, Roux, L & Putti, TC 2010, Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis. En 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010., 5596972, Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Espana, 18/07/10. https://doi.org/10.1109/IJCNN.2010.5596972

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis. / Huang, Chao Hui; Racoceanu, Daniel; Roux, Ludovic et al.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. 5596972 (Proceedings of the International Joint Conference on Neural Networks).

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

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T1 - Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL)

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AU - Roux, Ludovic

AU - Putti, Thomas C.

PY - 2010

Y1 - 2010

N2 - Bio-inspired computer vision is an emerging field. It aims to reproduce the capabilities of biological vision systems, eventually to simulate the visual functions for various purposes. In this paper, we propose a bio-inspired computer visual system using Graphical Processing Unit (GPU), and its application on breast cancer prognosis. The system extracts visual features from an input image using a mechanism which is similar to human visual system. Then classify the visual features using a machine learning algorithm. As a result, the elements of the input image, which might be related to particular knowledge concepts, can be identified.

AB - Bio-inspired computer vision is an emerging field. It aims to reproduce the capabilities of biological vision systems, eventually to simulate the visual functions for various purposes. In this paper, we propose a bio-inspired computer visual system using Graphical Processing Unit (GPU), and its application on breast cancer prognosis. The system extracts visual features from an input image using a mechanism which is similar to human visual system. Then classify the visual features using a machine learning algorithm. As a result, the elements of the input image, which might be related to particular knowledge concepts, can be identified.

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DO - 10.1109/IJCNN.2010.5596972

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Huang CH, Racoceanu D, Roux L, Putti TC. Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis. En 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc. 2010. 5596972. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2010.5596972

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

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