Imagoworks Inc.

Eungjune Shim

Youngjun Kim

Jung-Min Hwang

A method of automated tooth segmentation of a three dimensional scan data using a deep learning, includes determining a U-shape of teeth in input scan data and operating a U-shape normalization operation to the input scan data to generate first scan data, operating a teeth and gum normalization operation, in which the first scan data are received and a region of interest (ROI) of the teeth and gum is set based on a landmark formed on the tooth, to generate second scan data, inputting the second scan data to a convolutional neural network to label the teeth and the gum and extracting a boundary between the teeth and the gum using labeled information of the teeth and the gum.

Method for automated tooth segmentation of three dimensional scan data using deep learning and computer readable medium having program for performing the method

Growing community of inventors

Seoul, South Korea

Eungjune Shim