A Fully Automatic Global Gradient Measure Based 3D Region Growing Solid Tumour Segmentation Method (3D-GGM-RG) for Low Contrast and Low Count Positron Emission Tomography.
Mahbubunnabi TamalPublished in: J. Medical Imaging Health Informatics (2019)
Keyphrases
- fully automatic
- low contrast
- region growing
- segmentation method
- imaging modalities
- positron emission tomography
- image gradient
- pet images
- semi automatic
- fully automated
- image segmentation
- edge detection
- edge information
- watershed transform
- region merging
- segmentation algorithm
- mri data
- active contour model
- segmented images
- accurate segmentation
- energy function
- active contours
- segmentation result
- superpixels
- clinical applications
- medical images
- watershed segmentation
- magnetic resonance
- x ray
- high resolution