Spatio-temporal visual attention modelling of standard biometry plane-finding navigation

Author:

Cai YifanORCID,Droste RichardORCID,Sharma HarshitaORCID,Chatelain PierreORCID,Drukker LiorORCID,Papageorghiou Aris T.,Noble J. AlisonORCID

Funder

ERC

EPSRC

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference49 articles.

1. Benefits and risks of ultrasound in pregnancy;Abramowicz,2013

2. Ahmed, M., 2014. The fusion of eye tracking and machine learning to boost detection of anatomical features in fetal abdominal ultrasound.

3. An eye-tracking inspired method for standardised plane extraction from fetal abdominal ultrasound volumes;Ahmed,2016

4. Neural machine translation by jointly learning to align and translate;Bahdanau;arXiv preprint arXiv:1409.0473,2014

5. Sononet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound;Baumgartner;IEEE Trans. Med. Imaging,2017

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