APA (7th ed.) Citation

MJ, D., Jr, P. D., S, T., & GL, M. (2020). A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables. International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists, 39(4), 333. https://doi.org/10.1097/PGP.0000000000000615

Chicago Style (17th ed.) Citation

MJ, Downing, Papke DJ Jr, Tyekucheva S, and Mutter GL. "A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables." International Journal of Gynecological Pathology : Official Journal of the International Society of Gynecological Pathologists 39, no. 4 (2020): 333. https://doi.org/10.1097/PGP.0000000000000615.

MLA (9th ed.) Citation

MJ, Downing, et al. "A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables." International Journal of Gynecological Pathology : Official Journal of the International Society of Gynecological Pathologists, vol. 39, no. 4, 2020, p. 333, https://doi.org/10.1097/PGP.0000000000000615.