Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45676-3_41
Reference28 articles.
1. Apostolopoulos, I.D., Mpesiana, T.A.: Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Phys. Eng. Sci. Med. 43, 635–640 (2020)
2. Wang, L., Lin, Z.Q., Wong, A.: Covid-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images. Sci. Rep. 10(1), 1–12 (2020)
3. Hu, B., Vasu, B., Hoogs, A.: X-MRI: explainable medical image retrieval. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 440–450 (2022)
4. Qi, A., et al.: Directional mutation and crossover boosted ant colony optimization with application to covid-19 x-ray image segmentation. Comput. Biol. Med. 148, 105810 (2022)
5. Covid, C., et al.: Severe outcomes among patients with coronavirus disease 2019 (COVID-19)-United States, February 12–March 16 2020. Morb. Mortal. Wkly Rep. 69(12), 343 (2020)
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