1. Biomedical imaging modalities: a tutorial;Acharya;Comput. Med. Imaging Graph.,1995
2. Agostinelli, F., Anderson, M.R. and Lee, H., 2013. Adaptive multi-column deep neural networks with application to robust image denoising. Advances in Neural Information Processing Systems, 1493–1501, Twenty-seventh Conference on Neural Information Processing Systems held in Harrahs and Harveys, Lake Tahoe from 5th to 10th December 2013.
3. Ahn, E., Kumar, A., Feng, D., Fulham, M. Kim, J., 2019. Unsupervised feature learning with k-means and an ensemble of deep convolutional neural networks for medical image classification. arXiv preprint arXiv:1906.03359, pp. 1–8.
4. BreCaHAD: a dataset for breast cancer histopathological annotation and diagnosis;Aksac;BMC Res. Notes,2019
5. Alom, M.Z., Hasan, M., Yakopcic, C., Taha, T.M. Asari, V.K., 2018a. Recurrent residual convolutional neural network based on u-net (R2U-net) for medical image segmentation. arXiv preprint arXiv:1802.06955.