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Advances in Management of Voice and Swallowing Disorders
| Advances in Management of Voice and Swallowing Disorders |
| Autore | Speyer Renée |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (282 p.) |
| Soggetto topico |
Chemistry
Research and information: general |
| Soggetto non controllato |
acoustic voice analysis
ageing auditory discrimination auditory-perceptual analysis balneotherapy botulinum toxin chronic refractory cough classic test theory compensation cough hypersensitivity syndrome deep learning deglutition deglutition disorders dysphagia dysphonia severity categories exercise globus pharyngeus hoarseness international short scale intervention laryngeal hypersensitivity laryngeal penetration or aspiration laryngeal sensory dysfunction laryngopharyngeal reflux larynx machine learning measure n/a Negative Practice neuromuscular electrical stimulation neuropathic cough NMES objective voice diagnostics occupational health occupational voice disorders Optimal Phonation Task PES pharyngeal electrical stimulation prevention prophylaxis psychometrics RCT rehabilitation reliability repetitive transcranial magnetic stimulation rTMS self-assessed vocal impairment (VHIs) Sob Voice Therapy swallowing swallowing disorders T1a glottic carcinoma tDCS teachers test-retest reliability throat irritation tongue transcranial direct current stimulation transoral laser microsurgery treatment outcome validation of classification ranges VHI-9i severity levels videofluoroscopic swallow studies videofluoroscopic swallowing study VMV vocal extent measure (VEM) vocal function voice assessment voice control voice diagnostics voice disorders Voice Handicap Index (VHI-9i) voice training |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580207203321 |
Speyer Renée
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Oral Health
| Artificial Intelligence in Oral Health |
| Autore | Lee Jae-Hong |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
machine learning
artificial intelligence malocclusion diagnostic imaging active learning maxillary sinusitis convolutional neural network deep learning segmentation oral microbiota LEfSe PCoA alloprevotella prevotella core microbiota artificial neural networks oral cancer diagnosis oral cancer prediction pit and fissure sealants caries assessment visual examination clinical evaluation convolutional neural networks transfer learning deep learning network YOLOv4 mandibular third molar inferior alveolar nerve contact relationship panoramic radiograph deep learning methods caries diagnosis dental panoramic images radiography Fourier transform infrared spectroscopy FTIR imaging spectral biomarker multivariate analysis discriminant model oral squamous cell carcinoma oral epithelial dysplasia oral potentially malignant disorder risk stratification early oral cancer detection dentigerous cysts histopathology images image classification odontogenic keratocysts radicular cysts AI screening diagnosis dentistry ultrasonography tongue algorithm dysphagia impacted tooth detection neural networks proximal caries training strategy small dataset periapical radiograph X-ray tooth extraction oroantral fistula operative planning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066803321 |
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Lee Jae-Hong
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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