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-...

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Detaylı Bibliyografya
Asıl Yazarlar: Savochkina, E, Lee, LH, Zhao, H, Drukker, L, Papageorghiou, AT, Noble, JA
Materyal Türü: Conference item
Dil:English
Baskı/Yayın Bilgisi: IEEE 2022