APA (7th ed.) Citation

Jan, Y., Tsai, P., Huang, W., Chou, L., Huang, S., Wang, J., . . . Wu, T. (2023). Machine learning combined with radiomics and deep learning features extracted from CT images: A novel AI model to distinguish benign from malignant ovarian tumors. Insights into Imaging, 14(1), 1. https://doi.org/10.1186/s13244-023-01412-x

Chicago Style (17th ed.) Citation

Jan, Ya-Ting, et al. "Machine Learning Combined with Radiomics and Deep Learning Features Extracted from CT Images: A Novel AI Model to Distinguish Benign from Malignant Ovarian Tumors." Insights into Imaging 14, no. 1 (2023): 1. https://doi.org/10.1186/s13244-023-01412-x.

MLA (9th ed.) Citation

Jan, Ya-Ting, et al. "Machine Learning Combined with Radiomics and Deep Learning Features Extracted from CT Images: A Novel AI Model to Distinguish Benign from Malignant Ovarian Tumors." Insights into Imaging, vol. 14, no. 1, 2023, p. 1, https://doi.org/10.1186/s13244-023-01412-x.