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...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Published: |
IEEE
2019
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