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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 electronic resource (282 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
T1a glottic carcinoma
transoral laser microsurgery treatment outcome vocal function objective voice diagnostics vocal extent measure (VEM) occupational voice disorders prevention prophylaxis teachers occupational health voice training balneotherapy dysphagia swallowing laryngeal penetration or aspiration deglutition reliability videofluoroscopic swallowing study deep learning machine learning Voice Handicap Index (VHI-9i) international short scale VHI-9i severity levels test-retest reliability validation of classification ranges self-assessed vocal impairment (VHIs) hoarseness dysphonia severity categories voice diagnostics deglutition disorders tongue exercise ageing Sob Voice Therapy Optimal Phonation Task Negative Practice auditory-perceptual analysis acoustic voice analysis laryngeal sensory dysfunction chronic refractory cough botulinum toxin larynx laryngeal hypersensitivity cough hypersensitivity syndrome globus pharyngeus laryngopharyngeal reflux neuropathic cough throat irritation auditory discrimination voice control voice assessment voice disorders swallowing disorders RCT intervention compensation rehabilitation classic test theory measure psychometrics videofluoroscopic swallow studies VMV neuromuscular electrical stimulation pharyngeal electrical stimulation PES NMES repetitive transcranial magnetic stimulation transcranial direct current stimulation rTMS tDCS |
| 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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