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 congresoContribución a la conferenciarevisión exhaustiva

7 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 originalInglés
Título de la publicación alojada2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión impresa)9781424469178
DOI
EstadoPublicada - 2010
Publicado de forma externa
Evento2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Espana
Duración: 18 jul. 201023 jul. 2010

Serie de la publicación

NombreProceedings of the International Joint Conference on Neural Networks

Conferencia

Conferencia2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
País/TerritorioEspana
CiudadBarcelona
Período18/07/1023/07/10

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