1. Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;Journal of Big Data,2021
2. The effects of regularization and data augmentation are class dependent;Balestriero;Advances in Neural Information Processing Systems,2022
3. Brigato, L., & Mougiakakou, S. (2023). No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 139–148).
4. Deep learning classification for diabetic foot thermograms;Cruz-Vega;Sensors,2020
5. Recognition of ischaemia and infection in diabetic foot ulcer: a deep convolutional neural network based approach;Das;International Journal of Imaging Systems and Technology,2022