BAA-Net: attention-based CNN for automatic placental segmentation of MR images.
Jia JiaYaping WangChenyu YanPublished in: Medical Imaging: Image Processing (2022)
Keyphrases
- mr images
- accurate segmentation
- medical images
- brain mr images
- magnetic resonance
- partial volume
- lesion segmentation
- brain tumors
- magnetic resonance images
- mr brain
- intensity inhomogeneity
- segmentation result
- manual segmentation
- brain structures
- bias field
- mr imaging
- dice similarity coefficient
- mr brain images
- cardiac magnetic resonance
- mri data
- intensity distribution
- brain mri
- tissue segmentation
- fully automatic
- image data
- brain tissue
- contrast enhanced
- automated segmentation
- nonrigid registration
- brain segmentation
- anatomical structures
- inhomogeneity correction
- atlas construction
- level set
- segmentation method
- medical imaging
- semi automatic
- model based segmentation
- segmentation algorithm
- phantom images
- image processing
- multiple sclerosis
- image intensity
- medical image analysis
- gray matter
- prostate segmentation
- automatic segmentation
- image registration
- brain images
- ct images
- shape prior
- quantitative measurements
- quantitative evaluation
- prostate cancer
- inter patient
- white matter