Li, Z., Li, X., Jin, Z., & Shen, L. (2023). Learning from pseudo-lesion: A self-supervised framework for COVID-19 diagnosis. Neural Computing & Applications, 35(15), 10717. https://doi.org/10.1007/s00521-023-08259-9
Chicago Style (17th ed.) CitationLi, Zhongliang, Xuechen Li, Zhihao Jin, and Linlin Shen. "Learning from Pseudo-lesion: A Self-supervised Framework for COVID-19 Diagnosis." Neural Computing & Applications 35, no. 15 (2023): 10717. https://doi.org/10.1007/s00521-023-08259-9.
MLA (9th ed.) CitationLi, Zhongliang, et al. "Learning from Pseudo-lesion: A Self-supervised Framework for COVID-19 Diagnosis." Neural Computing & Applications, vol. 35, no. 15, 2023, p. 10717, https://doi.org/10.1007/s00521-023-08259-9.
Warning: These citations may not always be 100% accurate.