Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-weighted MRI Head Scans.
Anway S. PimpalkarRashmika K. PatoleKetaki D. KambleMahesh H. ShindikarPublished in: CoRR (2022)
Keyphrases
- skull stripping
- magnetic resonance images
- mr images
- brain tissue
- mri scans
- adaptive thresholding
- magnetic resonance
- medical images
- magnetic resonance imaging
- mri data
- healthy volunteers
- random walker
- morphological operators
- white matter
- accurate segmentation
- manual segmentation
- medical imaging
- brain tumors
- image analysis
- computer vision
- automatic segmentation
- random walk
- x ray
- bias field
- feature extraction
- three dimensional