Glomerular and Nephron Size and Kidney Disease Outcomes: A Comparison of Manual Versus Deep Learning Methods in Kidney Pathology
Kidney Med
.
2024 Nov 28;7(1):100939.
doi: 10.1016/j.xkme.2024.100939.
eCollection 2025 Jan.
Authors
Jaidip M Jagtap
1
2
,
Andrew R Janowczyk
3
4
5
,
Yijiang Chen
6
,
Afsana A Shaik
2
,
Aidan F Mullan
7
,
Bradley J Erickson
1
2
,
Vidit Sharma
8
,
Timothy L Kline
1
2
,
Laura Barisoni
9
10
,
Aleksandar Denic
2
,
Andrew D Rule
2
11
Affiliations
1
Department of Radiology, Mayo Clinic, Rochester, MN.
2
Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN.
3
Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Georgia.
4
Division of Precision Oncology, Department of Oncology, Geneva University Hospitals, Geneva, Switzerland.
5
Department of Diagnostics, Division of Clinical Pathology, Geneva University Hospitals, Geneva, Switzerland.
6
Department of Radiation Oncology, Stanford University, Stanford, CA.
7
Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN.
8
Department of Urology, Mayo Clinic, Rochester, MN.
9
Department of Pathology, Division of AI and Computational Pathology, Duke University, Durham, NC.
10
Department of Medicine, Division of Nephrology, Duke University, Durham, NC.
11
Division of Epidemiology, Mayo Clinic, Rochester, MN.
PMID:
39807248
PMCID:
PMC11728938
DOI:
10.1016/j.xkme.2024.100939
No abstract available