Lower limb joint angle calculation algorithm based on convolutional neural network in X-ray films
10.3969/j.issn.1005-202X.2024.08.012
- VernacularTitle:基于卷积神经网络的X线片下肢关节角度识别算法
- Author:
Jingni LIU
1
;
Yuwu SHENG
;
Changxiu ZHAO
;
Cunliang NIU
;
Guoyuan HUANG
;
Changdong XU
;
Shanshan ZHAO
;
Bin CHEN
Author Information
1. 武威市人民医院放射科,甘肃武威 733000
- Keywords:
convolutional neural network;
object detection;
feature point localization;
lower limb power line
- From:
Chinese Journal of Medical Physics
2024;41(8):996-999
- CountryChina
- Language:Chinese
-
Abstract:
A convolutional neural network-based algorithm is proposed for calculating lower limb joint angle in X-ray films.After identifying the region of interest of a specific category in X-ray films through Yolov5 object detection model,U-Net model is used to perform heat map regression for identifying the key feature points,and then the lower limb joint angle is calculated.The results show that the proposed algorithm has higher accuracy than the previous algorithms and can obtain accurate and reliable results,providing references for clinical research and practice.
