At present

as an important reference for clinical detection and radiotherapy guidance

medical image plays a key role in the development of medicine. Medical images are mainly include Computed Tomography (CT)

Magnetic Resonance Imaging(MRI)

X-ray

Ultrasound (US). Compared with the first three

ultrasound is cheaper

has better effect on soft tissue imaging and nearly no harm to human body

so it has been more and more widely used at this stage. Ultrasound image segmentation plays an important role in late image analysis

and it can provide accurate reference for clinical diagnosis and radiotherapy placement. In this paper

the traditional segmentation methods

deformable model-based methods and deep learning methods of ultrasonic images are reviewed.