Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network

Automatic segmentation of breast lesion from ultrasound images is a crucial module for the computer aided diagnostic systems in clinical practice. Large-scale breast ultrasound (BUS) images remain unannotated and need to be effectively explored to improve the segmentation quality. To address this, a semi-supervised segmentation network is proposed based on generative adversarial networks (GAN). In this paper, a semi-supervised learning model,...