KDPCnet: A Keypoint-Based CNN for the Classification of Carotid Plaque
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-13829-4_71
Reference27 articles.
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3. Dong, X., Yu, J., Zhang, J.: Joint usage of global and local attentions in hourglass network for human pose estimation. Neurocomputing 472, 95–102 (2022)
4. Ge, J., et al.: Screening of ruptured plaques in patients with coronary artery disease by intravascular ultrasound. Heart 81(6), 621–627 (1999)
5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
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