Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT).
Jue JiangNeelam TyagiKathryn TringaleChristopher CraneHarini VeeraraghavanPublished in: MICCAI (4) (2022)
Keyphrases
- segmentation method
- segmentation algorithm
- image segmentation
- grey level
- image analysis
- test images
- multiscale
- image data
- image regions
- image content
- input image
- medical images
- image pixels
- image representation
- energy functional
- segmented images
- single image
- adaptive thresholding
- region segmentation
- image features
- gray value
- image classification
- edge detection
- foreground and background
- pixel level
- perceptual grouping
- watershed algorithm
- berkeley segmentation dataset
- homogeneous regions
- segmentation errors
- energy function
- high resolution
- brain mr images
- image segments
- microscopic images
- low depth of field
- optimal segmentation
- watershed transformation
- segmentation accuracy
- region growing
- multiple objects
- gray level images
- volume data
- image segmentation algorithm
- object segmentation
- region of interest
- fuzzy logic
- image retrieval
- inter patient
- intensity images
- registration framework
- level set
- video sequences
- foreground background separation
- three dimensional