Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
METHOD FOR AUTOMATICALLY RECOGNIZING BOUNDARY OF AFFECTED AREA ON BASIS OF ARTIFICIAL INTELLIGENCE, AND METHOD FOR CREATING THREE-DIMENSIONAL AFFECTED AREA MODEL
Document Type and Number:
WIPO Patent Application WO/2022/131461
Kind Code:
A1
Abstract:
The present specification discloses a method for automatically and accurately recognizing the boundary of an affected area, and a method for generating a three-dimensional affected area model on the basis of the recognized boundary of the affected area. The method for automatically recognizing the boundary of an affected area according to the present specification is based on artificial intelligence, wherein multiple frames of the affected area to be recognized are taken with an RGB-D camera, and measurement information in the images can be separated and subjected to image data amplification for learning and then passed through an artificial neural network. The method may comprise a step for generating a 3D model by matching a 2D image to a 3D model through boundary recognition post-processing of the data that has passed through the artificial neural network.

Inventors:
YOU SEOK HWAN (KR)
Application Number:
PCT/KR2021/007257
Publication Date:
June 23, 2022
Filing Date:
June 10, 2021
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
ROKIT HEALTHCARE INC (KR)
International Classes:
A61B5/00; A61B34/10; A61F2/10; A61L27/60; B29C64/386; B33Y40/00; B33Y50/00; B33Y70/00; G16H50/20
Foreign References:
US20120035469A12012-02-09
US20180021140A12018-01-25
KR20190101758A2019-09-02
KR20160092424A2016-08-04
Other References:
JUSZCZYK JAN MARIA; WIJATA AGATA; CZAJKOWSKA JOANNA; KRECICHWOST MICHAL; RUDZKI MARCIN; BIESOK MARTA; PYCINSKI BARTLOMIEJ; MAJEWSK: "Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction", IEEE ACCESS, IEEE, USA, vol. 9, 30 October 2020 (2020-10-30), USA , pages 7894 - 7907, XP011830917, DOI: 10.1109/ACCESS.2020.3035125
Attorney, Agent or Firm:
TNI IP LAW FIRM (KR)
Download PDF: