Journal
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
Volume 3, Issue 3, Pages 280-298Publisher
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJDMB.2009.026702
Keywords
neuroblastoma; computer-aided prognosis; features extraction; image processing; graphics processors; bioinformatics
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Funding
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [P20EB000591] Funding Source: NIH RePORTER
- NIBIB NIH HHS [P20EB000591] Funding Source: Medline
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Neuroblastoma is one of the most common childhood cancers. We are developing an image analysis system to assist pathologists in their prognosis. Since this system operates on relatively large-scale images and requires sophisticated algorithms, computerised analysis takes a long time to execute. In this paper, we propose a novel approach to benefit from high memory bandwidth and strong floating-point capabilities of graphics processing units. The proposed approach achieves a promising classification accuracy of 99.4% and an execution performance with a gain factor up to 45 times compared to hand-optimised C++ code running on the CPU.
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