摘要
图像分析技术和高通量计算方法的发展促进人工智能与医学影像交叉融合。人工智能的发展为从乳腺X线摄影、超声和MRI成像数据中获取有价值的信息提供了前所未有的机会。从影像数据中挖掘的关键信息,重塑了乳腺疾病患者的临床管理策略。本文对人工智能辅助乳腺影像的应用现状和发展方向进行综述。
Advances in image analysis technologies and high-throughput computing methods facilitate the cross-fertilization of artificial intelligence with medical imaging.The development of artificial intelligence provides unprecedented opportunities to derive valuable information from mammography,ultrasound,and MRI imaging data.The critical information mined from imaging data reshapes the clinical management strategies for patients with breast disease.This paper provides an overview of the current status and development direction of artificial intelligence assisted breast imaging applications.
作者
王惠
杨新武
陈飞
朱孔强
李玄博
余晶
郭顺林
WANG Hui;YANG Xinwu;CHEN Fei;ZHU Kongqiang;LI Xuanbo;YU Jing;GUO Shunlin(The First Clinical College of Medicine of Lanzhou University,Lanzhou 730000,China;不详;Department of Radiology,the First Hospital of Lanzhou University,Lanzhou 730000,China)
出处
《中国医学影像学杂志》
CSCD
北大核心
2023年第10期1113-1116,共4页
Chinese Journal of Medical Imaging
基金
甘肃省卫生健康行业科研项目(GSWSKY2022-54)
兰州大学第一医院院内基金(ldyyyn2019-65)。
关键词
人工智能
辅助诊断
乳腺病灶
乳腺X线摄影
超声检查
磁共振成像
综述
Artificial intelligence
Assisted diagnosis
Breast lesion
Mammography
Ultrasonography
Magnetic resonance imaging
Review