1. Lecture Notes in Networks and Systems;Nidhi Bansal,2022
2. Bao, H., Dong, L., Wei, F.: Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021)
3. Bissoto, A., Perez, F., Ribeiro, V., Fornaciali, M., Avila, S., Valle, E.: Deep-learning ensembles for skin-lesion segmentation, analysis, classification: Recod titans at ISIC challenge 2018. arXiv preprint arXiv:1808.08480 (2018)
4. Chollet, F.: Xception: deep learning with depthwise separable convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1251–1258 (2017)
5. Dang, T., Nguyen, T.T., McCall, J., Elyan, E., Moreno-García, C.F.: Two layer Ensemble of Deep Learning Models for Medical Image Segmentation. ArXiv (2021). http://arxiv.org/abs/2104.04809