Carotid artery handheld ultrasonic image segmentation method, system and device

The invention discloses a carotid artery handheld ultrasonic image segmentation method, system and device based on a neural structure search network. The method comprises the following steps: obtaining a carotid artery handheld ultrasonic image, and carrying out size processing on the carotid artery handheld ultrasonic image to obtain a carotid artery handheld ultrasonic image with a preset size;and inputting the carotid artery handheld ultrasonic image with the preset size into a pre-trained hnasenet model, searching for a network structure and a unit structure at the same time through the hnasenet model, and outputting a semantic segmentation result of the carotid artery handheld ultrasonic image. The method, the system and the device can assist a doctor in analyzing the ultrasonic image, liberate the workload of the doctor, and have very important practical significance.