Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability-Reference-Cited by-同舟云学术

Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability

Published:2021 Issue: Volume: Page:191-201
ISSN:0302-9743
Container-title:Simplifying Medical Ultrasound
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Author:

Saeed Shaheer U.,Fu Yunguan,Stavrinides Vasilis,Baum Zachary M. C.,Yang Qianye,Rusu Mirabela,Fan Richard E.,Sonn Geoffrey A.,Noble J. Alison,Barratt Dean C.,Hu Yipeng

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87583-1_19

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5. Abdi, A.H., et al.: Automatic quality assessment of echocardiograms using convolutional neural networks: feasibility on the apical four-chamber view. IEEE Trans. Med. Imag. 36(6), 1221–1230 (2017). https://doi.org/10.1109/TMI.2017.2690836

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