A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data-Reference-Cited by-同舟云学术

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data

Published:2018 Issue: Volume: Page:29-37
ISSN:0302-9743
Container-title:Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
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Author:

Jafari Mohammad H.,Girgis Hany,Liao Zhibin,Behnami Delaram,Abdi Amir,Vaseli Hooman,Luong Christina,Rohling Robert,Gin Ken,Tsang Terasa,Abolmaesumi Purang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00889-5_4

Reference18 articles.

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3. Carneiro, G.: The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods. IEEE Trans. Image Process. 21(3), 968–982 (2012)

4. Lecture Notes in Computer Science;H Chen,2016

5. Chen, J., et al.: Combining fully convolutional and recurrent neural networks for 3d biomedical image segmentation. In: NIPS, pp. 3036–3044 (2016)

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