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Cons of Gaussian Mixture Models?

Maximize cluster distances
Cluster by density

What is clustering?

What is a disadvantage of the fuzzy C-means algorithm?

Classification of Voxels
The information we extract from medical images is voxel intensity

What does supervised segmentation methods assume?

What is the difference between k-means and gaussian mixture models (GMM)?

Pros of Gaussian Mixture Models?

- Automated Segmentation w/o need manually annotated training data

What is the concept of classification of voxels?

On what does the fuzzy C-means algorithm rely?

What is the idea of the Gaussian Mixture Models (GMM)?

What is the fuzzy C- means algorithm?

What does the 3.0T and T2 mean?

Iterate between cluster center and membership value updates

What is the intra-group variability?

Intra-group variability: this is the variability of sample points of the same group

To estimate model parameters and voxel labels

What is the inter-group variability?

Inter-group variability: this is the variability of sample points belonging to different groups

What shows an image histogram?

Which two steps build the fuzzy C-means algorithm?

How can we use this voxel intensity to quantify distances among sample points?

Model uncertainty stemming from imaging (e.g., PVE, poor SNR)