Self Supervised Multi-view Graph Representation Learning in Digital Pathology
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-55088-1_7
Reference30 articles.
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3. Aygüneş, B., Aksoy, S., Cinbiş, R.G., Kösemehmetoğlu, K., Önder, S., Üner, A.: Graph convolutional networks for region of interest classification in breast histopathology. In: Medical Imaging 2020: Digital Pathology, vol. 11320, pp. 134–141. SPIE (2020)
4. Biewald, L.: Experiment tracking with weights and biases (2020). https://www.wandb.com/, software available from wandb.com
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