摘要
人工智能(AI)乳腺超声将AI技术应用于乳腺癌的诊断及预后预测,不仅可以为超声科医师节省时间,还可以弥补由于初学者经验和技能不足导致的误诊及漏诊。现代医学影像学是AI在临床中发挥重要作用的最早领域之一。AI乳腺超声采集乳腺超声图像(BUI),作为一种横断面成像技术,应用计算机辅助设计(CAD)系统,对乳腺癌进行计算机辅助诊断,可提高临床对乳腺癌诊断的准确性。目前,CAD系统可帮助超声科医师更有效地实现对乳腺癌的早期筛查。AI乳腺超声可对乳腺癌病灶进行自动识别及分类,甚至模拟临床医师对乳腺癌进行诊断和预后评估。笔者拟就AI乳腺超声对乳腺癌的诊断及预后预测价值的最新研究进展,进行阐述。
The application of artificial intelligence(AI)breast ultrasonography for diagnosis breast carcinoma and prognosis prediction of breast cancer treatment can not only save time for ultrasound doctors,but also reduce the misdiagnosis and miss diagnosis cause by the lack of experience and skills of beginners.Modern medical imaging is one of the earliest areas where AI plays an important role in clinic.As a cross-sectional imaging technology,breast ultrasound image(BUI)collected by AI breast ultrasonography uses a computer-aided design(CAD)system to perform computer-aided diagnosis of breast cancer,and it can improve the accuracy of clinical diagnosis of breast cancer.Up to now,the intelligent CAD system can help ultrasound doctors more effectively screening early breast cancer.AI breast ultrasound can automatically identify and classify breast cancer lesions,and even simulate clinicians in diagnosis and prognosis prediction of patients with breast cancer.This article focuses on the latest research progresses of diagnosis and prognosis prediction of breast cancer by AI breast ultrasound.
作者
谢川博
满琴
罗红
Xie Chuanbo;Man Qin;Luo Hong(Department of Ultrasonography,Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University),Ministry of Education,West China Second University Hospital,Sichuan University,Chengdu 610041,Sichuan Province,China;Department of Ultrasonography,Zigong Hospital of Women and Children Heath Care,Zigong 643000,Sichuan Province,China;Prenatal Diagnosis Center,Zigong Hospital of Women and Children Heath Care,Zigong 643000,Sichuan Province,China)
出处
《中华妇幼临床医学杂志（电子版）》
CAS
2020年第3期368-372,共5页
Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition)
基金
国家重点研发计划项目(2017YFC0113905)。
关键词
乳腺肿瘤
超声检查
乳房
人工智能
诊断
计算机辅助
图像处理
计算机辅助
预后评估
女(雌)性
Breast neoplasms
Ultrasonography
mammary
Artificial intelligence
Diagnosis
computer-assisted
Image processing
computer-assisted
Prognosis assessment
Female
