Author:
Ilham Ahmad,Silva Jesus,Mercado-Caruso Nohora,Tapias-Ruiz Donato,Lezama Omar Bonerge Pineda
Publisher
Springer International Publishing
Reference29 articles.
1. Khan, S.H., Hayat, M., Bennamoun, M., Sohel, F.A., Togneri, R.: Cost-sensitive learning of deep feature representations from imbalanced data. IEEE Trans. Neural Netw. Learn. Syst. 29(8), 3573–3587 (2017)
2. Kalinin, A.A., Iglovikov, V.I., Rakhlin, A., Shvets, A. A.: Medical image segmentation using deep neural networks with pre-trained encoders. In: Deep Learning Applications, pp. 39–52. Springer, Singapore (2020)
3. Buda, M., Maki, A., Mazurowski, M.A.: A systematic study of the class imbalance problem in convolutional neural networks. Neural Netw. 106, 249–259 (2018)
4. Dong, Q., Zhu, X., Gong, S.: Single-label multi-class image classification by deep logistic regression. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 3486–3493, July 2019
5. Talo, M., Yildirim, O., Baloglu, U.B., Aydin, G., Acharya, U.R.: Convolutional neural networks for multi-class brain disease detection using MRI images. Comput. Med. Imaging Graph. 78, 101673 (2019)