Fran, C., et al.: Deep learning with depth wise separable convolutions. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017) Zamir, S.W., Arora, A., Khan, S., Hayat, M., Khan, F.S., Yang, M.-H.: Restormer: efficient transformer for high-resolution imag...
[21], who introduced a separable and dilated residual U-net for MRI brain tumor segmentation [4]. Overall, patch-based CNNs have shown great potential for brain tumor analysis in medical imaging, providing a powerful and flexible tool for accurately and efficiently processing complex and large ...