A Dense RNN for Sequential Four-Chamber View Left Ventricle Wall Segmentation and Cardiac State Estimation
An Erratum on
A Dense RNN for Sequential Four-Chamber View Left Ventricle Wall Segmentation and Cardiac State Estimation
by Wang, Y., and Zhang, W. (2021). Front. Bioeng. Biotechnol. 9:696227. doi: 10.3389/fbioe.2021.696227
Due to a typesetting error, the reference for “Premkumar et al. (2020)” was incorrectly written as Premkumar, K. A. R., Bharanikumar, R., and Palaniappan, A. (2020). Riboflow: Using deep learning to classify riboswitches with 99. It should be “Premkumar, K. A. R., Bharanikumar R., and Palaniappan, A. (2020) Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy. Front. Bioeng. Biotechnol. 8:808. doi: 10.3389/fbioe.2020.00808”.
The publisher apologizes for this mistake. The original version of this article has been updated.
References
Keywords: four-chamber view cardiac, recurrent neural network, image segmentation, left ventricle wall, cardiac state estimation
Citation: Frontiers Production Office (2021) Erratum: A Dense RNN for Sequential Four-Chamber View Left Ventricle Wall Segmentation and Cardiac State Estimation. Front. Bioeng. Biotechnol. 9:811396. doi: 10.3389/fbioe.2021.811396
Received: 08 November 2021; Accepted: 08 November 2021;
Published: 25 November 2021.
Approved by:
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