Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63772-8_16
Reference21 articles.
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3. Chaturvedi, K., Braytee, A., Li, J., Prasad, M.: SS-CPGAN: self-supervised cut-and-pasting generative adversarial network for object segmentation. Sensors 23(7), 3649 (2023)
4. Grill, J.B., et al.: Bootstrap your own latent: a new approach to self-supervised learning. arXiv.org (2020)
5. Zhou, Y., et al.: Vgg-fusionnet: a feature fusion framework from ct scan and chest x-ray images based deep learning for covid-19 detection. In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 1–9. IEEE (2022)
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