公开(公告)号：US20220398738A1

公开(公告)日：2022-12-15

申请号：US17835390

申请日：2022-06-08

Applicant: IMAGOWORKS INC.

Inventor： Eungjune SHIM ,  Jung-Min HWANG ,  Youngjun KIM

IPC: G06T7/11 ,  G06T7/12 ,  G06T7/66 ,  G06V10/25 ,  G06V10/82

Abstract: 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.

公开(公告)号：US20230206455A1

公开(公告)日：2023-06-29

申请号：US18087846

申请日：2022-12-23

Applicant: IMAGOWORKS INC.

Inventor： Seongjun TAK ,  Eungjune SHIM ,  Youngjun KIM

IPC: G06T7/12 ,  G06T7/73

CPC classification number: G06T7/12 ,  G06T7/73 ,  G06T2207/20084 ,  G06T2207/30036

Abstract: An automated method includes detecting a tooth of the scan data using a first artificial intelligence neural network, extracting a tooth scan data from the scan data based on a result of a tooth detection, generating a tooth mapped data corresponding to a predetermined space based on the tooth scan data, generating the tooth boundary curve by inputting the tooth mapped data to a second artificial intelligence neural network and mapping the tooth boundary curve to the scan data.

公开(公告)号：US20230206450A1

公开(公告)日：2023-06-29

申请号：US17983525

申请日：2022-11-09

Applicant: IMAGOWORKS INC.

Inventor： Sojeong CHEON ,  Eungjune SHIM ,  Youngjun KIM

IPC: G06T7/11 ,  G06T15/00 ,  G06T7/73

CPC classification number: G06T7/11 ,  G06T15/00 ,  G06T7/73 ,  G06T2207/20084 ,  G06T2200/04 ,  G06T2207/30036

Abstract: An automated method for tooth segmentation of a three dimensional scan data includes converting the three dimensional scan data into a two dimensional image, determining a three dimensional landmark using a first artificial intelligence neural network receiving the two dimensional image, generating cut data by cutting the scan data using the three dimensional landmark, determining an anchor point using the three dimensional landmark and the cut data, generating a mapped data by mapping the cut data into a predetermined space using the anchor point, determining a segmentation mask using a second artificial intelligence neural network receiving the mapped data and mapping the segmentation mask to the scan data or to the cut data.