Speech Fluency Measurement of Patients with Parkinson's Disease by Forward-Backward Divergence Segmentation.
Dávid SztahóIstván ValálikPublished in: CogInfoCom (2019)
Keyphrases
- forward backward
- caudate nucleus
- multiple sclerosis
- brain mri
- hidden markov models
- segmentation algorithm
- speech recognition
- image segmentation
- segmentation method
- medical doctors
- cardiovascular disease
- chronic obstructive pulmonary disease
- emergency department
- level set
- low grade gliomas
- early diagnosis
- deep brain stimulation
- patient groups
- clinically relevant
- diagnostic tool
- multiscale
- speech signal
- region growing
- disease progression
- chronic disease
- clinical studies
- patient data
- audio visual
- automatic segmentation
- medical images
- disease diagnosis
- infectious disease
- high risk
- cancer patients
- liver disease
- magnetic resonance images
- autistic children