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

Author

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

Author_Institution

Bioinf. Inst., Agency for Sci., Technol. & Res., Singapore, Singapore

fYear

2010

fDate

18-23 July 2010

Firstpage

1

Lastpage

8

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.

Keywords

biology computing; cancer; computer graphic equipment; computer vision; coprocessors; feature extraction; learning (artificial intelligence); GPU; bio-inspired computer vision; bio-inspired computer visual system; biological vision systems; breast cancer prognosis; graphical processing unit; human visual system; machine learning algorithm; visual feature extraction; visual pattern assessment language; Biological system modeling; Biomedical monitoring; Computational modeling; Gallium nitride; Monitoring; Photoreceptors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2010 International Joint Conference on

Conference_Location

Barcelona

ISSN

1098-7576

Print_ISBN

978-1-4244-6916-1

Type

conf

DOI

10.1109/IJCNN.2010.5596972

Filename

5596972