Explore the clinical evidence supporting the effectiveness and impact of the Relu® Engine AI models.
Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT
A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study
Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography
Automatic segmentation of the pharyngeal airway space with convolutional neural network.
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