| D011857 |
Radiographic Image Interpretation, Computer-Assisted |
Computer systems or networks designed to provide radiographic interpretive information. |
Computer Assisted Radiographic Image Interpretation,Computer-Assisted Radiographic Image Interpretation,Radiographic Image Interpretation, Computer Assisted |
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| D011862 |
Radiography, Panoramic |
Extraoral body-section radiography depicting an entire maxilla, or both maxilla and mandible, on a single film. |
Orthopantomography,Panoramic Radiography,Pantomography,Orthopantomographies,Panoramic Radiographies,Pantomographies,Radiographies, Panoramic |
|
| D006801 |
Humans |
Members of the species Homo sapiens. |
Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man |
|
| D000077321 |
Deep Learning |
Supervised or unsupervised machine learning methods that use multiple layers of data representations generated by nonlinear transformations, instead of individual task-specific ALGORITHMS, to build and train neural network models. |
Hierarchical Learning,Learning, Deep,Learning, Hierarchical |
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| D015921 |
Dental Implants |
Biocompatible materials placed into (endosseous) or onto (subperiosteal) the jawbone to support a crown, bridge, or artificial tooth, or to stabilize a diseased tooth. |
Dental Implants, Mini,Dental Prosthesis, Surgical,Implants, Dental,Dental Implant,Dental Prostheses, Surgical,Implant, Dental,Prostheses, Surgical Dental,Prosthesis, Surgical Dental,Surgical Dental Prostheses,Surgical Dental Prosthesis,Dental Implant, Mini,Mini Dental Implant,Mini Dental Implants |
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| D016571 |
Neural Networks, Computer |
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming. |
Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron |
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