Towards capturing sonographic experience: cognition-inspired ultrasound video saliency prediction by Droste, R, Cai, Y, Sharma, H, Chatelain, P, Papageorghiou, A, Noble, J

“…Here, we propose a temporally bidirectional model for video saliency prediction (BDS-Net), drawing inspiration from modern theories of human cognition. The model consists of a convolutional neural network (CNN) encoder followed by a bidirectional gated-recurrent-unit recurrent convolutional network (GRU-RCN) decoder. …”