MTSE U-Net: an architecture for segmentation, and prediction of fetal brain and gestational age from MRI of brain.
Tuhinangshu GangopadhyayShinjini HalderParamik DasguptaKingshuk ChatterjeeDebayan GangulySurjadeep SarkarSudipta RoyPublished in: Netw. Model. Anal. Health Informatics Bioinform. (2022)
Keyphrases
- tissue segmentation
- mr images
- brain structures
- brain tumors
- magnetic resonance images
- brain scans
- fetal brain
- brain mr images
- brain tissue
- human brain
- medical images
- mri scans
- probabilistic atlas
- accurate segmentation
- brain atlas
- magnetic resonance imaging
- gray matter
- brain mri
- partial volume
- atlas based segmentation
- brain images
- magnetic resonance
- medical imaging
- mri images
- white matter
- manual segmentation
- intensity distribution
- medical image analysis
- mri data
- segmentation accuracy
- quantitative evaluation
- automatic segmentation
- image segmentation
- shape analysis
- segmentation algorithm
- image analysis
- quantitative analysis
- level set
- nonrigid registration
- diffusion tensor images
- ct images
- fully automatic
- information processing
- ground truth
- mouse brain
- active shape model
- image data