[Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].

MLA

Tian, Hengyi, et al. “[Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].” Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition, vol. 55, no. 2, Mar. 2024, pp. 447–54. EBSCOhost, https://doi.org/10.12182/20240360208.

APA

Tian, H., Wang, Y., Ji, Y., & Rahman, M. M. (2024). [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features]. Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition, 55(2), 447–454. https://doi.org/10.12182/20240360208

Chicago

Tian, Hengyi, Yu Wang, Yarong Ji, and Md Mostafizur Rahman. 2024. “[Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].” Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition 55 (2): 447–54. doi:10.12182/20240360208.