Fuzzy clustering-based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis.
Prabhjot KaurPrakul SharmaAnkur PalmiaPublished in: Int. J. Imaging Syst. Technol. (2020)
Keyphrases
- magnetic resonance imaging
- comparative analysis
- computed tomography
- medical imaging
- brain tissue
- magnetic resonance images
- image segmentation
- mri data
- medical images
- mri images
- ct images
- ct scans
- mr images
- deformable models
- medical image analysis
- image analysis
- imaging modalities
- x ray
- anatomical structures
- image processing
- computer aided diagnosis
- brain mr images
- image registration
- ct data
- white matter
- computer vision
- brain mri
- left ventricular
- accurate segmentation
- image guided
- brain tumors
- brain images
- positron emission tomography
- cone beam
- partial volume
- computer tomography
- manual segmentation
- magnetic resonance
- x ray images
- region growing
- multiple sclerosis
- beating heart
- graph cuts
- gray level
- remote sensing
- image reconstruction
- three dimensional
- active contours
- segmentation method
- region of interest
- brain imaging
- automatic segmentation
- ground truth
- prostate cancer
- high quality