An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound (2021-02-28T00:00:00.000000Z)

TL;DR

A frame-based 4-score disease severity prediction architecture is proposed with the integration of deep convolutional and recurrent neural networks to consider both spatial and temporal features of the LUS frames and is found to be very effective in detecting COVID-19 severity scores from LUS images.

Authors

S. Fattah

6 papers

Ankan Ghosh Dastider

1 papers

Farhan Sadik

1 papers

TL;DR

Authors

References42 items

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