DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images.
Jimit DoshiGüray ErusMohamad HabesChristos DavatzikosPublished in: CoRR (2019)
Keyphrases
- mr images
- medical images
- accurate segmentation
- magnetic resonance
- inter patient
- brain mr images
- brain tumors
- anatomical structures
- partial volume
- surface based registration
- magnetic resonance images
- mr brain
- segmentation result
- manual segmentation
- mr imaging
- brain structures
- dice similarity coefficient
- intensity inhomogeneity
- medical imaging
- bias field
- medical image analysis
- cardiac magnetic resonance
- imaging modalities
- image intensity
- inter subject
- mr brain images
- brain mri
- mri data
- brain segmentation
- intensity distribution
- inhomogeneity correction
- contrast enhanced
- phantom images
- deformable models
- nonrigid registration
- image data
- ct images
- prostate cancer
- quantitative measurements
- brain tissue
- computed tomography
- segmentation algorithm
- tissue segmentation
- brain images
- image analysis
- image segmentation
- image volumes
- magnetic resonance imaging
- automated segmentation
- automatic initialization
- prostate segmentation
- region growing
- lesion segmentation
- automatic segmentation
- registration framework
- model based segmentation
- quantitative evaluation