Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.

MLA

Liang, Dan, et al. “Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.” Academic Radiology, vol. 31, no. 4, Apr. 2024, pp. 1344–54. EBSCOhost, https://doi.org/10.1016/j.acra.2023.08.018.

APA

Liang, D., Fan, Y., Zeng, Y., Zhou, H., Zhou, H., Li, G., Liang, Y., Zhong, Z., Chen, D., Chen, A., Li, G., Deng, J., Huang, B., & Wei, X. (2024). Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis. Academic Radiology, 31(4), 1344–1354. https://doi.org/10.1016/j.acra.2023.08.018

Chicago

Liang, Dan, Yaheng Fan, Yinghou Zeng, Hui Zhou, Hong Zhou, Guangming Li, Yingying Liang, et al. 2024. “Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.” Academic Radiology 31 (4): 1344–54. doi:10.1016/j.acra.2023.08.018.