Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT).
Jue JiangNeelam TyagiKathryn TringaleChristopher CraneHarini VeeraraghavanPublished in: CoRR (2022)
Keyphrases
- segmentation method
- segmentation algorithm
- image segmentation
- multiscale
- grey level
- image analysis
- image data
- edge detection
- image regions
- image features
- image pixels
- single image
- segmented images
- test images
- region segmentation
- input image
- segmentation accuracy
- image content
- pixel level
- energy functional
- image representation
- segmentation errors
- adaptive thresholding
- low depth of field
- image retrieval
- three dimensional
- gray level images
- optimal segmentation
- berkeley segmentation dataset
- region growing
- image classification
- fuzzy logic
- pixel wise
- medical images
- foreground and background
- energy function
- gray value
- level set
- watershed algorithm
- automatic segmentation
- color images
- image segments
- brain mr images
- colour images
- region of interest
- graph cuts
- model based segmentation
- intensity distribution
- medical imaging
- watershed transformation
- intensity images
- foreground background separation
- anatomical structures