Semi-automatic muscle segmentation in MR images using deep registration-based label propagation.
Nathan DecauxPierre-Henri ConzeJuliette RoparsXinyan HeFrances T. SheehanChristelle PonsDouraied Ben SalemSylvain BrochardFrançois RousseauPublished in: Pattern Recognit. (2023)
Keyphrases
- semi automatic
- mr images
- label propagation
- brain mr images
- mr brain
- brain structures
- magnetic resonance
- atlas construction
- medical images
- nonrigid registration
- mr imaging
- partial volume
- mr brain images
- fully automatic
- dice similarity coefficient
- tissue segmentation
- intensity distribution
- contrast enhanced
- manual segmentation
- magnetic resonance images
- inter patient
- atlas based segmentation
- brain tumors
- semi supervised learning
- brain segmentation
- semi supervised
- gold standard
- brain tissue
- image volumes
- mri data
- image data
- registration framework
- phantom images
- medical image analysis
- image segmentation
- inter subject
- labeled data
- registration accuracy
- class labels
- brain mri
- unlabeled data
- image registration
- fully automated
- segmentation algorithm
- cortical surface
- deformation field
- image processing