Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation.

MLA

Gregory, Adriana V., et al. “Utility of New Image-Derived Biomarkers for Autosomal Dominant Polycystic Kidney Disease Prognosis Using Automated Instance Cyst Segmentation.” Kidney International, vol. 104, no. 2, Aug. 2023, pp. 334–42. EBSCOhost, https://doi.org/10.1016/j.kint.2023.01.010.

APA

Gregory, A. V., Chebib, F. T., Poudyal, B., Holmes, H. L., Yu, A. S. L., Landsittel, D. P., Bae, K. T., Chapman, A. B., Frederic, R.-O., Mrug, M., Bennett, W. M., Harris, P. C., Erickson, B. J., Torres, V. E., & Kline, T. L. (2023). Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation. Kidney International, 104(2), 334–342. https://doi.org/10.1016/j.kint.2023.01.010

Chicago

Gregory, Adriana V, Fouad T Chebib, Bhavya Poudyal, Heather L Holmes, Alan S L Yu, Douglas P Landsittel, Kyongtae T Bae, et al. 2023. “Utility of New Image-Derived Biomarkers for Autosomal Dominant Polycystic Kidney Disease Prognosis Using Automated Instance Cyst Segmentation.” Kidney International 104 (2): 334–42. doi:10.1016/j.kint.2023.01.010.