Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44521-7_19
Reference21 articles.
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2. Chen, C., et al.: Deep learning for cardiac image segmentation: a review. Front. Cardiovasc. Med. 7 (2020). https://doi.org/10.3389/fcvm.2020.00025
3. Chen, S., Ma, K., Zheng, Y.: Tan: Temporal affine network for real-time left ventricle anatomical structure analysis based on 2D ultrasound videos. ArXiv (2019). https://doi.org/10.48550/ARXIV.1904.00631
4. Chen, Y., Zhang, X., Haggerty, C.M., Stough, J.V.: Assessing the generalizability of temporally coherent echocardiography video segmentation. In: Išgum, I., Landman, B.A. (eds.) Medical Imaging 2021: Image Processing. vol. 11596, p. 115961O. International Society for Optics and Photonics, SPIE (2021). https://doi.org/10.1117/12.2580874
5. Dai, W., Li, X., Ding, X., Cheng, K.T.: Cyclical self-supervision for semi-supervised ejection fraction prediction from echocardiogram videos. IEEE Trans. Med. Imaging 42(5), 1446–1461 (2023). https://doi.org/10.1109/TMI.2022.3229136
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