1. Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning;Hoo-Chang;IEEE Trans. Med. Imaging,2016
2. C. Szegedy, S. Ioffe, V. Vanhoucke, A.A. Alemi, Inception-v4, inception-resnet and the impact of residual connections on learning, in: Thirty-First AAAI Conference on Artificial Intelligence, 2017.
3. Squeezenet: Alexnet-level accuracy with 50x fewer parameters and 0.5 mb model size;Iandola,2016
4. Fixing the train-test resolution discrepancy: Fixefficientnet;Touvron,2020
5. ImageNet large scale visual recognition challenge;Russakovsky;Int. J. Comput. Vis.,2015