Title:
OSTEOPHYTE IDENTIFICATION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/205928
Kind Code:
A1
Abstract:
An osteophyte identification method and apparatus, and an electronic device and a storage medium, the osteophyte identification method comprising: acquiring a medical image (S101); inputting the medical image into a trained first segmentation model, so as to obtain a femoral region and/or a tibial region and/or a fibular region and/or a patellar region in the medical image (S102); and inputting the femoral region and/or the tibial region and/or the fibular region and/or the patellar region into a trained second segmentation model, so as to obtain femoral osteophytes and/or tibial osteophytes and/or fibular osteophytes and/or patellar osteophytes (S103). Therefore, a first segmentation model and a second segmentation model can be used to quickly, accurately and intelligently identify osteophytes, so as to help surgeons with surgical planning. The method has the advantages of easy operation, high accuracy, and satisfying individual differences of patients. In addition, by means of improving basis data of preoperative planning, guidance is provided for surgical planning and prosthesis selection, such that the accuracy rate of subsequent surgeries is improved, and a large amount of time is saved for orthopedists.
Inventors:
ZHANG YILING (CN)
LIU XINGYU (CN)
LIU XINGYU (CN)
Application Number:
PCT/CN2021/130471
Publication Date:
October 06, 2022
Filing Date:
November 12, 2021
Export Citation:
Assignee:
BEIJING LONGWOOD VALLEY MEDICAL TECH CO LTD (CN)
ZHANG YILING (CN)
ZHANG YILING (CN)
International Classes:
G06K9/62
Foreign References:
| CN113076987A | 2021-07-06 | |||
| CN110689551A | 2020-01-14 | |||
| CN111340760A | 2020-06-26 | |||
| US20210004956A1 | 2021-01-07 |
Other References:
KIRILLOV ALEXANDER; WU YUXIN; HE KAIMING; GIRSHICK ROSS: "PointRend: Image Segmentation As Rendering", 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 13 June 2020 (2020-06-13), pages 9796 - 9805, XP033804684, DOI: 10.1109/CVPR42600.2020.00982
CHENG HO KEI; CHUNG JIHOON; TAI YU-WING; TANG CHI-KEUNG: "CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement", 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 13 June 2020 (2020-06-13), pages 8887 - 8896, XP033805360, DOI: 10.1109/CVPR42600.2020.00891
CHENG HO KEI; CHUNG JIHOON; TAI YU-WING; TANG CHI-KEUNG: "CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement", 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 13 June 2020 (2020-06-13), pages 8887 - 8896, XP033805360, DOI: 10.1109/CVPR42600.2020.00891
Attorney, Agent or Firm:
BEIJING TRUST OF ZHIGUO IP AGENCY CO., LTD. (CN)
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