APA (7th ed.) Citation

Feng, F., Ashton‐Miller, J. A., DeLancey, J. O. L., & Luo, J. (2020). Convolutional neural network‐based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse. Medical physics (Lancaster), 47(9), 4281-4293. https://doi.org/10.1002/mp.14377

Chicago Style (17th ed.) Citation

Feng, Fei, James A. Ashton‐Miller, John O. L. DeLancey, and Jiajia Luo. "Convolutional Neural Network‐based Pelvic Floor Structure Segmentation Using Magnetic Resonance Imaging in Pelvic Organ Prolapse." Medical Physics (Lancaster) 47, no. 9 (2020): 4281-4293. https://doi.org/10.1002/mp.14377.

MLA (9th ed.) Citation

Feng, Fei, et al. "Convolutional Neural Network‐based Pelvic Floor Structure Segmentation Using Magnetic Resonance Imaging in Pelvic Organ Prolapse." Medical Physics (Lancaster), vol. 47, no. 9, 2020, pp. 4281-4293, https://doi.org/10.1002/mp.14377.