APA (7th ed.) Citation

Shaukat, Z., Farooq, Q. u. A., Tu, S., Xiao, C., & Ali, S. (2022). A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture. BMC bioinformatics, 23(1), 251-21. https://doi.org/10.1186/s12859-022-04794-9

Chicago Style (17th ed.) Citation

Shaukat, Zeeshan, Qurat ul Ain Farooq, Shanshan Tu, Chuangbai Xiao, and Saqib Ali. "A State-of-the-art Technique to Perform Cloud-based Semantic Segmentation Using Deep Learning 3D U-Net Architecture." BMC Bioinformatics 23, no. 1 (2022): 251-21. https://doi.org/10.1186/s12859-022-04794-9.

MLA (9th ed.) Citation

Shaukat, Zeeshan, et al. "A State-of-the-art Technique to Perform Cloud-based Semantic Segmentation Using Deep Learning 3D U-Net Architecture." BMC Bioinformatics, vol. 23, no. 1, 2022, pp. 251-21, https://doi.org/10.1186/s12859-022-04794-9.