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Spatio-Temporal Partitioning and Description of Full-Length Routine Fetal Anomaly Ultrasound Scans
This paper considers automatic clinical workflow description of full-length routine fetal anomaly ultrasound scans using deep learning approaches for spatio-temporal video analysis. Multiple architectures consisting of 2D and 2D + t CNN, LSTM, and convolutional LSTM are investigated and compared. Th...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6986911/ https://ncbi.nlm.nih.gov/pubmed/31993109 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2019.8759149 |
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