First trimester video saliency prediction using cLSTMU-Net with stochastic augmentation

In this paper we develop a multi-modal video analysis algorithm to predict where a sonographer should look next. Our approach uses video and expert knowledge, defined by gaze tracking data, which is acquired during routine first-trimester fetal ultrasound scanning. Specifically, we propose a spatio-...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Savochkina, E, Lee, LH, Zhao, H, Drukker, L, Papageorghiou, AT, Noble, JA
स्वरूप: Conference item
भाषा:English
प्रकाशित: IEEE 2022