国际医学放射学杂志2024，Vol.47Issue(3)：310-313,4.DOI:10.19300/j.2024.Z21304
人工智能在乳腺癌超声诊疗中的应用进展
Application progress of artificial intelligence in the ultrasound diagnosis and treatment of breast cancer
张晓婷 1江柳1
作者信息
- 1. 北京大学第一医院超声医学科,北京 100034
- 折叠
摘要
Abstract
Ultrasound is the most commonly used imaging method in the clinical diagnosis and treatment of breast cancer.As artificial intelligence(AI)has developed,various AI techniques,including machine learning,deep learning,and convolutional neural networks,have been used to create auxiliary diagnosis and prediction tools based on ultrasound imaging features.This article reviews the application advances of AI in ultrasound evaluation of breast cancer,including screening,diagnosis,axillary lymph node metastasis,molecular subtyping,and prediction of efficacy of neoadjuvant chemotherapy.关键词
超声/乳腺癌/人工智能/机器学习/深度学习Key words
Ultrasound/Breast cancer/Artificial intelligence/Machine learning/Deep learning分类
医药卫生引用本文复制引用
张晓婷,江柳..人工智能在乳腺癌超声诊疗中的应用进展[J].国际医学放射学杂志,2024,47(3):310-313,4.
