Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting.
Sen DengYidan FengHaoneng LinYiting FanAlex Pui-Wai LeeXiaowei HuJing QinPublished in: AAAI (2024)
Keyphrases
- semi supervised
- segmentation algorithm
- semi supervised learning
- image segmentation
- low signal to noise ratio
- medical images
- multi view
- segmentation method
- intensity distribution
- filtering method
- level set
- pairwise
- morphological filters
- noise level
- random noise
- image edges
- patient specific
- median filter
- region growing
- signal to noise ratio
- image analysis
- edge detection
- background subtraction
- labeled data
- unlabeled data
- medical imaging
- image noise
- fully supervised
- imaging modalities
- fully automatic
- shape prior
- segmented images
- gaussian noise
- noisy data
- object segmentation
- image structure