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

Please use this identifier to cite or link to this item: https://doi.org/10.1109/IJCNN.2010.5596972

Title:	Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis
Authors:	Huang, C.-H. Racoceanu, D. Roux, L. Putti, T.C.
Issue Date:	2010
Citation:	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. Proceedings of the International Joint Conference on Neural Networks. ScholarBank@NUS Repository. https://doi.org/10.1109/IJCNN.2010.5596972
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. © 2010 IEEE.
Source Title:	Proceedings of the International Joint Conference on Neural Networks
URI:	http://scholarbank.nus.edu.sg/handle/10635/41061
ISBN:	9781424469178
DOI:	10.1109/IJCNN.2010.5596972
Appears in Collections:	Staff Publications

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