In medicine and dentistry, image quality affects computer vision accuracy. However, some
problems are more tolerant of noise depending on disease severity and radiographic …

A GAN is trained to process input images and produce a synthetic dental image. The GAN
further takes masks as inputs with each image, the masks labeling pixels of the image …

A comprehensive dental readiness platform is presented. Dental patient data including an
image, proposed treatments, and a dental form are received and processed by first machine …

A novel GAN is trained to predict high fidelity synthetic images based on low quality input
dental images. The GAN further takes input anatomic masks as inputs with each image, the …

This disclosure describes one or more implementations of a text sequence labeling system
that accurately and efficiently utilize a joint-learning self-distillation approach to improve text …

Training a generator includes processing a dental image using the generator to obtain a
synthetic pathology label, such has a pixel mask indicating portions of the dental image …

Dental images are processed according to a first machine learning model to determine teeth
labels. The teeth labels and image are processed using a second machine learning model …

A computer includes a processor and a memory storing instructions executable by the
processor to receive sensor data of an occupant of a vehicle, identify a type of mask worn by …

Described herein is a system, method, and non-transitory computer-readable medium for
managed authorization routing to identify, mitigate, and prevent potential issues that may …

Embodiments of this novel invention seek to address the problems described above by
using a device that employs dental imagery of various form to measure certain critical …