Liao, L., Cheng, P., & Chan, F. (2024). Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study. Diagnostics (2075-4418), 14(16), 1761. https://doi.org/10.3390/diagnostics14161761
Chicago Style (17th ed.) CitationLiao, Li-Jen, Ping-Chia Cheng, and Feng-Tsan Chan. "Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study." Diagnostics (2075-4418) 14, no. 16 (2024): 1761. https://doi.org/10.3390/diagnostics14161761.
MLA (9th ed.) CitationLiao, Li-Jen, et al. "Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study." Diagnostics (2075-4418), vol. 14, no. 16, 2024, p. 1761, https://doi.org/10.3390/diagnostics14161761.