Cite
ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
MLA
Ji, Zhanlin, et al. “ASD-Net: A Novel U-Net Based Asymmetric Spatial-Channel Convolution Network for Precise Kidney and Kidney Tumor Image Segmentation.” Medical & Biological Engineering & Computing, vol. 62, no. 6, June 2024, pp. 1673–87. EBSCOhost, https://doi.org/10.1007/s11517-024-03025-y.
APA
Ji, Z., Mu, J., Liu, J., Zhang, H., Dai, C., Zhang, X., & Ganchev, I. (2024). ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation. Medical & Biological Engineering & Computing, 62(6), 1673–1687. https://doi.org/10.1007/s11517-024-03025-y
Chicago
Ji, Zhanlin, Juncheng Mu, Jianuo Liu, Haiyang Zhang, Chenxu Dai, Xueji Zhang, and Ivan Ganchev. 2024. “ASD-Net: A Novel U-Net Based Asymmetric Spatial-Channel Convolution Network for Precise Kidney and Kidney Tumor Image Segmentation.” Medical & Biological Engineering & Computing 62 (6): 1673–87. doi:10.1007/s11517-024-03025-y.