ECL: Class-Enhancement Contrastive Learning for Long-Tailed Skin Lesion Classification

Author:

Zhang Yilan,Chen Jianqi,Wang Ke,Xie Fengying

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);S Ando,2017

2. Cao, K., Wei, C., Gaidon, A., Arechiga, N., Ma, T.: Learning imbalanced datasets with label-distribution-aware margin loss. In: Advances in Neural Information Processing Systems, vol. 32 (2019)

3. Cassidy, B., Kendrick, C., Brodzicki, A., Jaworek-Korjakowska, J., Yap, M.H.: Analysis of the ISIC image datasets: usage, benchmarks and recommendations. Med. Image Anal. 75, 102305 (2022)

4. Chen, J., Chen, K., Chen, H., Li, W., Zou, Z., Shi, Z.: Contrastive learning for fine-grained ship classification in remote sensing images. IEEE Trans. Geosci. Remote Sens. 60, 1–16 (2022)

5. Codella, N.C., et al.: Skin lesion analysis toward melanoma detection: a challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 168–172. IEEE (2018)

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