GPU-Accelerated Features Extraction From Magnetic Resonance Images

GPU-Accelerated Features Extraction From Magnetic Resonance Images

The use of a graphics processing unit (GPU) together with a CPU, referred as GPU-accelerated computing, to accelerate tasks that requires extensive computations has been the trends for last a few years in high performance computing. In this paper, we propose a new paradigm of GPU-accelerated method...

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Bibliographic Details
Main Authors: Hsin-Yi Tsai, Hanyu Zhang, Che-Lun Hung, Geyong Min
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Magnetic resonance imaging (MRI)
gray-level co-occurrence matrix (GLCM)
texture features extraction
GPGPU
image analysis
computer science
Online Access:https://ieeexplore.ieee.org/document/8049449/

Internet

https://ieeexplore.ieee.org/document/8049449/

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