Dental imaging system utilizing artificial intelligence
AssigneeSota Precision Optics, Inc.
InventorDustin JOHNSON
Life of this patent
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Abstract
A system and a method for training and utilizing deep convolutional neural networks to perform diagnostic and image enhancement operations on images of dentition uses digital images and other auxiliary parameters as inputs for a convolutional neural network. The neural network can output a tooth segmentation map, tooth identifiers, a probability map indicating the presence of caries, cavities or other dental anomalies/conditions, and recommended parameters for use in image enhancement algorithms.
Claims17
A computer implemented method of training an artificial neural network for automatic dental image manipulation, enhancement, labeling, tagging, and recognition of abnormalities in dentition, caries and/or cavities, the method comprising:
- receiving at least one set of training images and their associated labels, wherein the associated labels include a quality score for each image in the at least one set of training images;
- passing the set of training images and the associated labels to an artificial neural network;
- using a technique of backpropagation to determine statistical weights corresponding to a likelihood that values of each pixel or a pooled sub-region of pixels in an input image collectively represent a structure or state that a neural network model is intended to identify;
- and
- determining image characteristics of an acquired image.
Dependencies are inferred from the claim text.