Spatio-temporal partitioning and description of full-length routine fetal anomaly ultrasound scans

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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Sharma, H, Droste, R, Chatelain, P, Drukker, L, Papageorghiou, A, Noble, J
Aineistotyyppi: Conference item
Julkaistu: IEEE 2019

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