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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 |
Lee Jae-Hong
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Current Trends and Future Directions in Prosthetic and Implant Dentistry in the Digital Era
| Current Trends and Future Directions in Prosthetic and Implant Dentistry in the Digital Era |
| Autore | Di Fiore Adolfo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (146 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
dental implants
digital impression intraoral scanner CAD/CAM materials toothbrushing wear surface roughness surface integrity alveolar remodeling tooth extraction intraoral digital scanning imaging superimposition less traumatic surgery socket healing implantology computer-aided surgery image-guided surgery zygomatic implants navigation system dental implant bone level prospective study sub-crestal placement emergence profile guided surgery digital workflow stereolithographic surgical guide accuracy CAD–CAM DICOM–STL static guided surgery clinical study intraoral scanners digital dentistry impression techniques full-arch impression elderly population dimensional measurement accuracy implant scan operator precision scan area trueness occlusion overloading complications implant-supported restorations marginal bone loss oral implantology intraoral scan cone-beam computed tomography oral surgery emergence angle retrospective study |
| ISBN | 3-0365-6050-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639986203321 |
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Di Fiore Adolfo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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