摘要
基于乳腺超声影像数据和病理报告数据,采用隐私保护技术保障数据的安全性,通过ETL技术和互联网技术,开发乳腺超声影像筛选与标定系统。系统实现了多模态的数据导入及预处理、乳腺超声影像数据筛选及标定、专家审核等功能,为人工智能在乳腺超声影像智能诊断与分析领域的应用提供高质量的数据支撑,同时提升了标定医生的工作效率。
Based on breast ultrasound image data and pathological report data,this paper uses privacy protection technology to ensure the data security,and develops the breast ultrasound image screening and labeling system through ETL and internet technology.The system realizes the functions of multimodal data importing and pretreatment,data screening and labeling of breast ultrasound image data,and expert review.It provides high-quality data support for the application of Artificial Intelligence in the field of intelligent diagnosis and analysis of breast ultrasound images,and improves the work efficiency of labeling doctors.
作者
申辉繁
黄源
SHEN Huifan;HUANG Yuan(Sichuan Institute of Computer Sciences,Chengdu 610041,China)
出处
《现代信息科技》
2023年第11期26-29,33,共5页
Modern Information Technology
关键词
人工智能
ETL
超声影像
智能诊断
Artificial Intelligence
ETL
ultrasound image
intelligent diagnosis