An Overview of Few-Shot Learning Methods in Analysis of Histopathological Images

Author:

Szołomicka Joanna,Markowska-Kaczmar Urszula

Publisher

Springer Nature Switzerland

Reference83 articles.

1. Gurcan, M., Boucheron, L., Can, A., Madabhushi, A., Rajpoot, N., Yener, B.: Histopathological image analysis: a review. IEEE Rev. Biomed. Eng. 147–71 (2009)

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3. Song, Y., Wang, T., Mondal, S.K., Sahoo, J.P.: A comprehensive survey of few-shot learning: evolution, applications, challenges, and opportunities (2022). arxiv:2205.06743

4. Wang, Y., Yao, Q., Kwok, J.T., Ni, L.M.: Generalizing from a few examples: a survey on few-shot learning. ACM Comput. Surv. 53(3). https://doi.org/10.1145/3386252

5. Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks (2017). arxiv:1703.03400

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1. A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

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