Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s11042-023-17743-2.pdf
Reference38 articles.
1. Frénay B, Verleysen M (2014) Classification in the presence of label noise: A survey. IEEE Trans Neural Networks Learn Syst. https://doi.org/10.1109/TNNLS.2013.2292894
2. Karimi D, Dou H, Warfield SK, Gholipour A (2020) Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. Med Image Anal 65:101759. https://doi.org/10.1016/j.media.2020.101759
3. Song H, Kim M, Park D, et al (2022) Learning from noisy labels with deep neural networks: a survey. IEEE Trans Neural Networks Learn Syst 1–19. https://doi.org/10.1109/TNNLS.2022.3152527
4. Zhou Z-H (2018) A brief introduction to weakly supervised learning. Natl Sci Rev 5:44–53. https://doi.org/10.1093/nsr/nwx106
5. Patrini G, Rozza A, Menon AK, Nock R, Lizhen Q (2017) Making deep neural networks robust to label noise: a loss correction approach. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 1944–1952. https://openaccess.thecvf.com/content_cvpr_2017/html/Patrini_Making_Deep_Neural_CVPR_2017_paper.html
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