1. Active learning for imbalanced datasets;Aggarwal,2020
2. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography;Ardila;Nat. Med.,2019
3. Azizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., et al., 2021. Big self-supervised models advance medical image classification. arXiv preprint arXiv:2101.05224.
4. Margin based active learning;Balcan,2007
5. The power of ensembles for active learning in image classification;Beluch,2018