Study on the Rapid Imaging Diagnosis of Femoral Neck Fracture by Artificial Intelligence
Objective To develop an artificial intelligence(AI)method for the rapid imaging diagnosis of human femoral neck fractures and realize automatic evaluation.Methods A total of 1 018 cases of femoral neck fractures were collected and divided into training set(676 cases),validation set(112 cases),and test set(230 cases).The training set and validation set were used to construct the evaluation model of femoral neck fracture through three steps:automatic image pretreatment,fracture diagnosis model construction and model evaluation.The test set was used to validate the model.Results A database of 1 018 cases of femoral neck fracture was established.The accuracy of the established intelligent assessment model in identifying femoral neck fractures reached 78.7%.Conclusion The established intelligent evaluation model will provide technical support for the development of automatic evaluation software of femoral neck fractures.
国家科技期刊平台
NSTL
万方数据
