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Keywords

• Active learning
• AI
• Algorithm
• Alloprevotella
• artificial intelligence
• Artificial Neural Networks
• caries assessment
• caries diagnosis
• clinical evaluation
• contact relationship
• convolutional neural network
• convolutional neural networks
• core microbiota
• deep learning
• deep learning methods
• deep learning network
• dental panoramic images
• dentigerous cysts
• Dentistry
• Detection
• Diagnosis
• Diagnostic imaging
• discriminant model
• dysphagia
• early oral cancer detection
• Fourier transform infrared spectroscopy
• FTIR imaging
• histopathology images
• image classification
• impacted
• inferior alveolar nerve
• LEfSe
• Machine learning
• Malocclusion
• mandibular third molar
• maxillary sinusitis
• medicine
• multivariate analysis
• n/a
• neural networks
• odontogenic keratocysts
• operative planning
• oral cancer diagnosis
• oral cancer prediction
• oral epithelial dysplasia
• oral microbiota
• oral potentially malignant disorder
• oral squamous cell carcinoma
• oroantral fistula
• panoramic radiograph
• PCoA
• periapical radiograph
• pit and fissure sealants
• prevotella
• proximal caries
• radicular cysts
• Radiography
• risk stratification
• screening
• segmentation
• small dataset
• spectral biomarker
• tongue
• Tooth
• tooth extraction
• training strategy
• transfer learning
• Ultrasonography
• visual examination
• X-ray
• YOLOv4

Links

DOI: 10.3390/books978-3-0365-5143-2

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