U-NET Architecture for automatic MS lesions segmentation using MR images.
Ghofrane GhodhbaniMouna SahnounFathi KallelPatrick SiarryPublished in: ATSIP (2022)
Keyphrases
- lesion segmentation
- multiple sclerosis
- mr images
- magnetic resonance
- brain mri
- dynamic contrast enhanced
- magnetic resonance images
- accurate segmentation
- medical images
- partial volume
- manual segmentation
- intensity inhomogeneity
- brain tumors
- pet images
- brain mr images
- mr brain
- brain tissue
- mri data
- mr brain images
- mr imaging
- nonrigid registration
- bias field
- brain structures
- white matter
- magnetic resonance imaging
- image data
- grey matter
- brain segmentation
- clinical trials
- contrast enhanced
- anatomical structures
- fully automatic
- dice similarity coefficient
- skin lesion
- phantom images
- cardiac magnetic resonance
- atlas construction
- automated segmentation
- computer aided diagnosis
- level set
- model based segmentation
- intensity distribution
- brain images
- inhomogeneity correction
- medical imaging
- image segmentation