Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35302-4_25
Reference11 articles.
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3. Hu, J., Smistad, E., Salte, I.M., Dalen, H., Lovstakken, L.: Exploiting temporal information in echocardiography for improved image segmentation. In: 2022 IEEE International Ultrasonics Symposium (IUS) (2022)
4. Isensee, F., Jaeger, P.F., Kohl, S.A.A., Petersen, J., Maier-Hein, K.H.: nnU-net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203–211 (2021)
5. Leclerc, S., et al.: Deep learning for segmentation using an open large-scale dataset in 2D echocardiography. IEEE Trans. Med. Imaging 38(9), 2198–2210 (2019)
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