APA (7th ed.) Citation

F, M., M, C., SD, B., G, B., F, M., F, C., . . . AC, T. (2026). Developing and validating ultrasound-based machine-learning models incorporating radiomics features to predict malignancy in adnexal masses. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 67(4), 519. https://doi.org/10.1002/uog.70203

Chicago Style (17th ed.) Citation

F, Moro, et al. "Developing and Validating Ultrasound-based Machine-learning Models Incorporating Radiomics Features to Predict Malignancy in Adnexal Masses." Ultrasound in Obstetrics & Gynecology : The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 67, no. 4 (2026): 519. https://doi.org/10.1002/uog.70203.

MLA (9th ed.) Citation

F, Moro, et al. "Developing and Validating Ultrasound-based Machine-learning Models Incorporating Radiomics Features to Predict Malignancy in Adnexal Masses." Ultrasound in Obstetrics & Gynecology : The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, vol. 67, no. 4, 2026, p. 519, https://doi.org/10.1002/uog.70203.