Clinical Practice

Ultrasound

Medical physics

Computer science

Mammography

Radiology

Segmentation

Physical therapy

Breast imaging

Modalities

Internal medicine

Sociology

Artificial intelligence

Medicine

Deep learning

Breast ultrasound

Breast cancer

Cancer

Social science

Diagnostics

Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to women’s health. Thus, early detection and proper treatment can improve patient prognosis. Breast ultrasound is one of the most commonly used modalities for diagnosing and detecting breast cancer in clinical practice. Deep learning technology has made significant progress in data extraction and analysis for medical images in recent years. Therefore, the use of deep learning for breast ultrasonic imaging in clinical practice is extremely important, as it saves time, reduces radiologist fatigue, and compensates for a lack of experience and skills in some cases. This review article discusses the basic technical knowledge and algorithms of deep learning for breast ultrasound and the application of deep learning technology in image classification, object detection, segmentation, and image synthesis. Finally, we discuss the current issues and future perspectives of deep learning technology in breast ultrasound.

The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review