Invention Grant
- Patent Title: Estimating bone mineral density from plain radiograph by assessing bone texture with deep learning
-
Application No.: US17142187Application Date: 2021-01-05
-
Publication No.: US11704796B2Publication Date: 2023-07-18
- Inventor: Kang Zheng , Yirui Wang , Shun Miao , Changfu Kuo , Chen-I Hsieh
- Applicant: Ping An Technology (Shenzhen) Co., Ltd.
- Applicant Address: CN Shenzhen
- Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
- Current Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
- Current Assignee Address: CN Shenzhen
- Agency: Anova Law Group, PLLC
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/73 ; G06N3/08 ; A61B6/00 ; G06T7/11 ; G06N3/04 ; G16H30/40 ; G16H50/30 ; G06F18/213 ; G06V10/764 ; G06V10/82 ; G06V10/44

Abstract:
The present disclosure provides a computer-implemented method, a device, and a computer program product for radiographic bone mineral density (BMD) estimation. The method includes receiving a plain radiograph, detecting landmarks for a bone structure included in the plain radiograph, extracting an ROI from the plain radiograph based on the detected landmarks, estimating the BMD for the ROI extracted from the plain radiograph by using a deep neural network.
Public/Granted literature
- US20210212647A1 ESTIMATING BONE MINERAL DENSITY FROM PLAIN RADIOGRAPH BY ASSESSING BONE TEXTURE WITH DEEP LEARNING Public/Granted day:2021-07-15
Information query