基于深度学习的人工智能在肌骨影像中的研究进展  

Research progress of artificial intelligence based on deep learning in musculoskeletal imaging

作　　者：刘艳东 程晓光[1] 于爱红[1] LIU Yandong;CHENG Xiaoguang;YU Aihong(Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, P.R.China)

机构地区：[1]北京积水潭医院放射科,北京100035

出　　处：《医学影像学杂志》2022年第2期339-341,共3页Journal of Medical Imaging

基　　金：国家自然科学基金面上项目(批准号:81971617);北京市医院管理局临床医学发展专项经费资助(编号:XMLX201843)。

摘　　要：人工智能(AI)已成为当今社会信息技术领域最重要的技术革命,随着深度学习算法的进步及硬件的升级,人工智能发展迅猛。基于深度学习的人工智能在医学影像的图像分割、图像分类识别和计算机辅助诊断方面都有较大的发展,本文主要讲述人工智能在肌骨影像中的研究进展。Artificial intelligence(AI)has become the most important technological revolution in today's social information technology field.With the advancement of deep learning algorithms and the upgrade of hardware,AI has developed rapidly.AI based on deep learning has made great progress in medical image segmentation,image classification and recognition,and computer-aided diagnosis.This review focuses on the research progress of AI in musculoskeletal imaging.

关 键 词：人工智能 深度学习 影像学诊断 

分 类 号：R68[医药卫生—骨科学] R445[医药卫生—外科学]