A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation.
Yuyue ZhouBanafshe FelfeliyanShrimanti GhoshJessica KnightFatima Alves-PereiraChristopher KeenJessica KüpperAbhilash Rakkunedeth HareendranathanJacob L. JaremkoPublished in: CoRR (2024)
Keyphrases
- segmentation method
- image segmentation
- auto annotation
- segmentation algorithm
- multiscale
- learning algorithm
- image analysis
- perceptual information
- image features
- input image
- image data
- grey level
- medical images
- single image
- pixel level
- low level
- image regions
- image processing
- segmented images
- image classification
- image content
- edge detection
- medical imaging
- region features
- object segmentation
- image pixels
- adaptive thresholding
- joint segmentation
- segmentation accuracy
- bayesian framework
- homogeneous regions
- volume data
- foreground and background
- video sequences
- image retrieval
- image segments
- image segmentation algorithm
- gray value
- visual information
- object detectors
- energy function
- ultrasound images
- image collections
- spatial relations