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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781424469178
DOIs	https://doi.org/10.1109/IJCNN.2010.5596972
State	Published - 2010
Externally published	Yes
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Country/Territory	Spain
City	Barcelona
Period	18/07/10 → 23/07/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IJCNN.2010.5596972

Cite this

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. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 Article 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. in 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, Spain, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Putti, Thomas C.

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Y1 - 2010

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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

M3 - Conference contribution

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T3 - Proceedings of the International Joint Conference on Neural Networks

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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. In 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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