A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech.
Matthieu RuthvenMarc E. MiquelAndrew P. KingPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- magnetic resonance images
- deep learning
- vocal tract
- medical images
- speech signal
- brain scans
- speech synthesis
- brain tumors
- partial volume
- medical imaging
- mr images
- segmentation method
- tissue segmentation
- probabilistic model
- three dimensional
- white matter
- image processing
- machine learning
- level set
- supervised learning
- image data
- high dimensional
- multiscale
- high quality
- image segmentation