中国司法鉴定Issue(3)：49-54,6.DOI:10.3969/j.issn.1671-2072.2024.03.007
股骨颈骨折影像人工智能快速诊断方法研究
Study on the Rapid Imaging Diagnosis of Femoral Neck Fracture by Artificial Intelligence
摘要
Abstract
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.关键词
法医影像学/股骨颈骨折/人工智能/图像识别/深度学习Key words
forensic imaging/femoral neck fracture/artificial intelligence(AI)/image recognition/deep learning分类
社会科学引用本文复制引用
马文静,刘凡,赵亮,刘华,裴京哲,张睿,施维..股骨颈骨折影像人工智能快速诊断方法研究[J].中国司法鉴定,2024,(3):49-54,6.基金项目
2019年度国家自然科学基金(201903-24) （201903-24）
公安部"双十计划"重点攻关项目(2021SSGG03). （2021SSGG03）
