摘要
乳腺癌是全球新发病例数最多的癌症, 在绝大多数国家中居女性癌症发病谱及死因谱的第一位。近年来, 人工智能尤其是深度学习、计算机辅助诊断等方法在图像分析处理、计算机视觉等方面表现出卓越的性能, 在医疗卫生领域的病灶识别、疾病诊断等方面也具有巨大的发展潜力。本文主要探讨人工智能在乳腺癌超声诊断中的应用及进展。
Breast cancer is the cancer with the largest number of new cases in the world,and ranks first in the incidence spectrum and cause of death among women in most countries.In recent years,artificial intelligence(AI),especially deep learning and computer-aided diagnosis,has shown remarkable performance in image analysis and processing,computer vision and other aspects,and has great development potential in the field of medical and health lesions identification,disease diagnosis and other aspects.This paper mainly discusses the application and progress of AI in ultrasound diagnosis of breast cancers.
作者
温悦
吴国柱
Wen Yue;Wu Guozhu(Graduate School,Baotou Medical College,Inner Mongolia University of Science and Technology,Baotou 014040,China;Department of Ultrasound,Inner Mongolia Autonomous Region People′s Hospital,Hohhot 010017,China)
出处
《中国医师杂志》
CAS
2022年第11期1748-1752,共5页
Journal of Chinese Physician
基金
内蒙古自治区自然科学基金(2017MS0850)。
关键词
人工智能
乳腺肿瘤
超声检查
乳房
Artificial intelligence
Breast neoplasms
Ultrasonography,mammary