Real-time mitral annulus segmentation from 4D transesophageal echocardiography using deep learning regression.
Patrick CarnahanApurva BharuchaMehdi EskandariDaniel BainbridgeElvis C. S. ChenTerry M. PetersPublished in: Medical Imaging: Image Processing (2023)
Keyphrases
- mitral valve
- deep learning
- beating heart
- subject specific
- magnetic resonance imaging
- automatically segmented
- medical images
- unsupervised learning
- motion compensation
- minimally invasive
- patient specific
- image segmentation
- machine learning
- multiscale
- segmentation algorithm
- unsupervised feature learning
- object segmentation
- cardiac cycle
- medical imaging
- clinical applications
- fully automatic
- segmentation method
- cardiac motion
- shape prior
- weakly supervised
- model selection
- intraoperative
- dimensionality reduction
- supervised learning
- input image