Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection.
Zhenyu YangKyle LafataEugene VaiosZongsheng HuTrey MullikinFang-Fang YinChunhao WangPublished in: CoRR (2022)
Keyphrases
- image segmentation
- segmentation method
- segmentation algorithm
- grey level
- intensity distribution
- mri images
- multiscale
- high resolution
- medical images
- brain tumors
- bias field
- image regions
- test images
- image analysis
- adaptive thresholding
- segmented images
- image features
- homogeneous regions
- parametric models
- magnetic resonance imaging
- input image
- parametric representation
- brain mr images
- edge detection
- brain scans
- image retrieval
- region growing
- pixel level
- image data
- segmentation accuracy
- foreground and background
- single image
- mr images
- brain tissue
- gray value
- energy function
- level set
- mri data
- magnetic resonance images
- segmentation result
- carotid artery
- image segments
- contrast enhancement
- energy functional