APA (7th ed.) Citation

X, W., B, L., C, W., Z, H., Y, Z., X, W., & Y, Z. (2024). Shear wave trajectory detection in ultra-fast M-mode images for liver fibrosis assessment: A deep learning-based line detection approach. Ultrasonics, 142, 107358. https://doi.org/10.1016/j.ultras.2024.107358

Chicago Style (17th ed.) Citation

X, Wang, Liu B, Wu C, Huang Z, Zhou Y, Wu X, and Zheng Y. "Shear Wave Trajectory Detection in Ultra-fast M-mode Images for Liver Fibrosis Assessment: A Deep Learning-based Line Detection Approach." Ultrasonics 142 (2024): 107358. https://doi.org/10.1016/j.ultras.2024.107358.

MLA (9th ed.) Citation

X, Wang, et al. "Shear Wave Trajectory Detection in Ultra-fast M-mode Images for Liver Fibrosis Assessment: A Deep Learning-based Line Detection Approach." Ultrasonics, vol. 142, 2024, p. 107358, https://doi.org/10.1016/j.ultras.2024.107358.