Artificial intelligence model for enhancing the accuracy of transvaginal ultrasound in detecting endometrial cancer and endometrial atypical hyperplasia.

MLA

Capasso, Ilaria, et al. “Artificial Intelligence Model for Enhancing the Accuracy of Transvaginal Ultrasound in Detecting Endometrial Cancer and Endometrial Atypical Hyperplasia.” International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society, vol. 34, no. 10, Oct. 2024, pp. 1547–55. EBSCOhost, https://doi.org/10.1136/ijgc-2024-005652.

APA

Capasso, I., Cucinella, G., Wright, D. E., Takahashi, H., De Vitis, L. A., Gregory, A. V., Kim, B., Reynolds, E., Fumagalli, D., Occhiali, T., Fought, A. J., McGree, M. E., Packard, A. T., Causa Andrieu, P. I., Fanfani, F., Scambia, G., Langstraat, C. L., Famuyide, A., Breitkopf, D. M., … Kline, T. L. (2024). Artificial intelligence model for enhancing the accuracy of transvaginal ultrasound in detecting endometrial cancer and endometrial atypical hyperplasia. International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society, 34(10), 1547–1555. https://doi.org/10.1136/ijgc-2024-005652

Chicago

Capasso, Ilaria, Giuseppe Cucinella, Darryl E Wright, Hiroaki Takahashi, Luigi Antonio De Vitis, Adriana V Gregory, Bohyun Kim, et al. 2024. “Artificial Intelligence Model for Enhancing the Accuracy of Transvaginal Ultrasound in Detecting Endometrial Cancer and Endometrial Atypical Hyperplasia.” International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society 34 (10): 1547–55. doi:10.1136/ijgc-2024-005652.