Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion.
Huisi WuJiasheng LiuFangyan XiaoZhenkun WenLan ChengJing QinPublished in: Medical Image Anal. (2022)
Keyphrases
- semi supervised
- semantic video retrieval
- level set
- segmentation algorithm
- spatiotemporal features
- low signal to noise ratio
- video sequences
- image analysis
- video event
- segmentation method
- semi supervised learning
- missing data
- space time
- image segmentation
- motion segmentation
- sports video
- echocardiographic images
- foreground background segmentation
- video analysis
- fully labeled
- multiscale
- video surveillance
- natural language
- moving objects
- fully automatic
- semantic information
- spatial and temporal
- semantic concepts
- multi modal fusion
- supervised learning
- medical images
- multi view
- labeled data
- video data
- fusion method
- video retrieval
- low level features
- video content
- object segmentation
- multi sensor
- video frames
- spatio temporal
- event detection
- background subtraction