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Segmentation of 3D microPET images of the rat brain via the hybrid gaussian mixture method with kernel density estimation
Tai Been Chen,
Jyh Cheng Chen
,
Henry Horng Shing Lu
*
*
此作品的通信作者
生物醫學影像暨放射科學系
統計學研究所
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Keyphrases
K-means
100%
Kernel Density Estimation
100%
MicroPET
100%
Gaussian Mixture Method
100%
Rat Brain
100%
Positron Emission Tomography
60%
Tomography Image
40%
Glucose Accumulation
40%
2-Deoxy-d-glucose (2-DG)
40%
Cerebral Cortex
40%
Clinical Application
20%
Hybrid Method
20%
Simulation Study
20%
Parameter Estimation
20%
Number of Clusters
20%
Gaussian Mixture Model
20%
Region of Interest
20%
Similarity Degree
20%
Volume Rendering
20%
Accuracy-based
20%
Functional Diagnosis
20%
Standardized Uptake Value
20%
Prior Estimation
20%
Segmentation Accuracy
20%
Preclinical Application
20%
Activity Structure
20%
Tanimoto
20%
Spherical Target
20%
Computer Science
Gaussian Mixture Model
100%
Gaussian Mixture
100%
Simulation Study
100%
Clinical Application
100%
Volume Rendering
100%
Combining Method
100%
segmentation accuracy
100%
Degree Of Similarity
100%