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Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images
Arie Agranonik, Maya Herman,
Mark Last
Department of Software and Information Systems Engineering
Research output
:
Working paper/Preprint
›
Preprint
28
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Dive into the research topics of 'Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images'. Together they form a unique fingerprint.
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Keyphrases
Brain MRI
100%
Modified Fuzzy C-means
100%
Genetic Algorithm
40%
Parallel Version
40%
Particle Swarm Optimization
40%
CUD A
40%
Particle Swarm Optimization-genetic Algorithm
40%
Clinical Application
20%
Adult Brain
20%
Execution Time
20%
Optimal Algorithm
20%
Parallel Environment
20%
Image Segmentation
20%
Fuzzy C-means Algorithm
20%
Algorithm Parameters
20%
Single Machine
20%
Fuzzy C-means
20%
MRI Images
20%
NVIDIA
20%
Noisy Conditions
20%
Particle Swarm Optimization Algorithm
20%
Segmentation Accuracy
20%
GPU Memory
20%
BrainWeb
20%
Threshold Indicator Taxa Analysis (TITAN)
20%
Computer Science
Particle Swarm Optimization
100%
Genetic Algorithm
66%
Parallel Version
66%
improved genetic algorithm
66%
Speed-up
33%
Execution Time
33%
Optimal Algorithm
33%
Single Machine
33%
Mean Algorithm
33%
segmentation accuracy
33%
Sequential Version
33%
particle swarm optimization algorithm
33%
Noisy Condition
33%