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Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine
0
Zitationen
11
Autoren
2023
Jahr
Abstract
Using deep learning, we automated precise measurements of kidney histomorphometric features. In the reference kidney tissue, several histomorphometric features demonstrated significant correlation to patient demographics and SCr. Deep learning tools can increase the efficiency and rigor of histomorphometric analysis.
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Autoren
Institutionen
- University at Buffalo, State University of New York(US)
- University of Florida(US)
- University of Pennsylvania(US)
- Florida College(US)
- Washington University in St. Louis(US)
- Seoul National University(KR)
- Hospitais da Universidade de Coimbra(PT)
- University of Coimbra(PT)
- Icahn School of Medicine at Mount Sinai(US)
- University of California, Davis(US)