A neutrosophic-entropy based clustering algorithm (NEBCA) with HSV color system: A special application in segmentation of Parkinson's disease (PD) MR images.
Pritpal SinghPublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- mr images
- medical images
- accurate segmentation
- magnetic resonance
- brain mr images
- clustering algorithm
- brain tumors
- mr brain
- partial volume
- intensity inhomogeneity
- bias field
- multiple sclerosis
- magnetic resonance images
- manual segmentation
- dice similarity coefficient
- brain structures
- phantom images
- brain mri
- mr brain images
- mr imaging
- nonrigid registration
- image segmentation
- clinical applications
- segmentation method
- image data
- mri data
- medical imaging
- level set
- contrast enhanced
- brain tissue
- tissue segmentation
- inter patient
- cardiac magnetic resonance
- anatomical structures
- ct images
- fully automatic
- edge detection
- color images
- feature vectors