Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA Images
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53241-2_7
Reference26 articles.
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2. Attene, M.: A lightweight approach to repairing digitized polygon meshes. Vis. Comput. 26, 1393–1406 (2010). https://doi.org/10.1007/S00371-010-0416-3
3. Bencevic, M., Habijan, M., Galic, I., Babin, D.: Using the polar transform for efficient deep learning-based aorta segmentation in CTA images. Proc. Elmar - Int. Symp. Electron. Mar. 191–194 (2022). https://doi.org/10.1109/ELMAR55880.2022.9899786
4. Biesdorf, A., et al.: Segmentation and quantification of the aortic arch using joint 3d model-based segmentation and elastic image registration. Med. Image Anal. 16, 1187–1201 (2012). https://doi.org/10.1016/J.MEDIA.2012.05.010
5. Bonechi, S., et al.: Segmentation of aorta 3d CT images based on 2d convolutional neural networks. Electronics 10(20), 2559 (2021). https://doi.org/10.3390/ELECTRONICS10202559
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