Cita APA (7a ed.)
Ji, Z., Liu, J., Mu, J., Zhang, H., Dai, C., Yuan, N., & Ganchev, I. (2024). ResDAC-Net: A novel pancreas segmentation model utilizing residual double asymmetric spatial kernels. Medical & Biological Engineering & Computing, 62(7), 2087-2101.
Cita Chicago Style (17a ed.)
Ji, Zhanlin, Jianuo Liu, Juncheng Mu, Haiyang Zhang, Chenxu Dai, Na Yuan, y Ivan Ganchev. "ResDAC-Net: A Novel Pancreas Segmentation Model Utilizing Residual Double Asymmetric Spatial Kernels." Medical & Biological Engineering & Computing 62, no. 7 (2024): 2087-2101.
Cita MLA (9a ed.)
Ji, Zhanlin, et al. "ResDAC-Net: A Novel Pancreas Segmentation Model Utilizing Residual Double Asymmetric Spatial Kernels." Medical & Biological Engineering & Computing, vol. 62, no. 7, 2024, pp. 2087-2101.
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