Artificial intelligence in breast ultrasound

• 作者: Christoph F Dietrich Ge-Ge Wu Jia-Yu Wang Jian-Wei Xu Li-Qiang Zhou Qi Wei Xin-Wu Cui You-Bin Deng
• 来源期刊: 世界放射学杂志:英文版(电子版)
• 学科: 医学
• 关键词: BREAST ULTRASOUND Artificial INTELLIGENCE MACHINE LEARNING DEEP
• 年，卷（期）: 2019,（2）
• 页码范围: 19-26
• 页数: 8页
• 分类号: R

摘要

Artificial intelligence (AI) is gaining extensive attention for its excellent performance in image-recognition tasks and increasingly applied in breast ultrasound. AI can conduct a quantitative assessment by recognizing imaging information automatically and make more accurate and reproductive imaging diagnosis. Breast cancer is the most commonly diagnosed cancer in women, severely threatening women’s health, the early screening of which is closely related to the prognosis of patients. Therefore, utilization of AI in breast cancer screening and detection is of great significance, which can not only save time for radiologists, but also make up for experience and skill deficiency on some beginners. This article illustrates the basic technical knowledge regarding AI in breast ultrasound, including early machine learning algorithms and deep learning algorithms, and their application in the differential diagnosis of benign and malignant masses. At last, we talk about the future perspectives of AI in breast ultrasound.