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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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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2022
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7614063/ https://ncbi.nlm.nih.gov/pubmed/36643818 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI52829.2022.9761585 |
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