APA (7th ed.) Citation

Liu, L., Cai, W., Zheng, F., Tian, H., Li, Y., Wang, T., . . . Zhu, W. (2025). Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnexal masses. Insights into Imaging, 16(1), 1. https://doi.org/10.1186/s13244-024-01874-7

Chicago Style (17th ed.) Citation

Liu, Lu, Wenjun Cai, Feibo Zheng, Hongyan Tian, Yanping Li, Ting Wang, Xiaonan Chen, and Wenjing Zhu. "Automatic Segmentation Model and Machine Learning Model Grounded in Ultrasound Radiomics for Distinguishing Between Low Malignant Risk and Intermediate-high Malignant Risk of Adnexal Masses." Insights into Imaging 16, no. 1 (2025): 1. https://doi.org/10.1186/s13244-024-01874-7.

MLA (9th ed.) Citation

Liu, Lu, et al. "Automatic Segmentation Model and Machine Learning Model Grounded in Ultrasound Radiomics for Distinguishing Between Low Malignant Risk and Intermediate-high Malignant Risk of Adnexal Masses." Insights into Imaging, vol. 16, no. 1, 2025, p. 1, https://doi.org/10.1186/s13244-024-01874-7.