Transfer learning from synthetic labels for histopathological images classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02425-z.pdf
Reference47 articles.
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3. Araújo T, Aresta G, Castro E, Rouco J, Aguiar P, Eloy C, Polónia A, Campilho A (2017) Classification of breast cancer histology images using convolutional neural networks. PloS one 12(6):e0177544
4. Attaoui MO, Azzag H, Lebbah M, Keskes N (2020) Multi-objective data stream clustering. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp 113–114
5. Bianconi F, Kather J. N., Reyes-Aldasoro C. C. (2019) Evaluation of colour pre-processing on patch-based classification of h&e-stained images. In: European Congress on Digital Pathology. Springer, pp 56–64
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