摘要
女性乳腺癌发病率较高,常规超声作为关键的筛查工具,对于降低乳腺癌病死亡率至关重要。近年来,多模态超声(如超声弹性成像、自动乳腺全容积扫描、对比增强超声)以及人工智能技术可全面评估乳腺癌,显著提高乳腺癌的检出率和诊断的准确性。而深度学习技术在数据分析中也表现出巨大潜力。未来深入研究多模态超声联合深度学习在乳腺癌中的应用,可以优化乳腺癌的检测和治疗决策,改善患者预后。
The incidence of breast cancer is high in women,and routine ultrasound,as a key screening tool,is essential for reducing breast cancer mortality.In recent years,multimodal ultrasound(such as ultrasound elastography,automated breast full volume scanning,and contrast-enhanced ultrasound)and artificial intelligence technologies have been used to comprehensively evaluate breast cancer,and significantly improve the detection rate and diagnostic accuracy of breast cancer.And deep learning technology has shown great potential in data analysis.In the future,in-depth research on the application of multimodal ultrasound combined with deep learning in breast cancer can optimize the detection and treatment decisions of breast cancer,and improve the patient prognosis.
作者
李金瑶
姜伟
LI Jinyao;JIANG Wei(Guangdong Medical University,Zhanjiang 524023,China;Department of Ultrasound,Nanshan Hospital of Guangdong Medical University/Huazhong University of Science and Technology Union Shenzhen Hospital,Shenzhen 518052,China)
出处
《医学综述》
CAS
2024年第12期1512-1516,1522,共6页
Medical Recapitulate
关键词
乳腺癌
多模态超声
人工智能
深度学习
Breast cancer
Multimodal ultrasound
Artificial intelligence
Deep learning
作者简介
通信作者:姜伟,Email:jiangwei1966nian@aliyun.com。
