Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion.
Huisi WuJiasheng LiuFangyan XiaoZhenkun WenLan ChengJing QinPublished in: Neurocomputing (2022)
Keyphrases
- semi supervised
- semantic video retrieval
- spatiotemporal features
- video event
- low signal to noise ratio
- segmentation method
- multi modal fusion
- multiscale
- data fusion
- semi supervised learning
- medical images
- level set
- echocardiographic images
- camera calibration
- image segmentation
- segmentation algorithm
- sports video
- labeled data
- multi view
- fully labeled
- moving objects
- unlabeled data
- fusion method
- edge detection
- active learning
- background subtraction
- dynamic textures
- object segmentation
- dynamic scenes
- video clips
- video surveillance
- image fusion
- video frames
- spatio temporal
- motion estimation
- ultrasound images
- semantic information
- video sequences