Correlating deep learning-based automated reference kidney histomorphometry with patient demographics and creatinine

Authors

Nicholas Lucarelli, University of Florida
Brandon Ginley, State University of New York at Buffalo
Jarcy Zee, University of Pennsylvania
Sayat Mimar, University of Florida
Anindya S. Paul, University of Florida
Sanjay Jain, Washington University School of Medicine in St. Louis
Seung Seok Han, Seoul National University
Luis Rodrigues, University of Coimbra
Tezcan Ozrazgat-Baslanti, University of Florida
Michelle L. Wong, University of California, Davis
Girish Nadkarni, Mount Sinai School of Medicine
William L. Clapp, Mount Sinai School of Medicine
Kuang-Yu Jen, University of California, Davis
Pinaki Sarder, University of Florida

Journal

Kidney360

Publication Date

12-1-2023

Volume

4

Issue

12

First Page

1726

Last Page

1737

Document Type

Open Access Publication

DOI

10.34067/KID.0000000000000299

Rights and Permissions

Lucarelli N, Ginley B, Zee J, Mimar S, Paul AS, Jain S, Han SS, Rodrigues L, Ozrazgat-Baslanti T, Wong ML, Nadkarni G, Clapp WL, Jen KY, Sarder P. Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine. Kidney360. 2023 Dec 1;4(12):1726-1737. doi: 10.34067/KID.0000000000000299.© 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

Recommended Citation

Lucarelli, Nicholas; Ginley, Brandon; Zee, Jarcy; Mimar, Sayat; Paul, Anindya S.; Jain, Sanjay; Han, Seung Seok; Rodrigues, Luis; Ozrazgat-Baslanti, Tezcan; Wong, Michelle L.; Nadkarni, Girish; Clapp, William L.; Jen, Kuang-Yu; and Sarder, Pinaki, "Correlating deep learning-based automated reference kidney histomorphometry with patient demographics and creatinine." Kidney360. 4, 12. 1726 - 1737. (2023).
https://digitalcommons.wustl.edu/oa_4/4602

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.