Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine

BACKGROUND: Reference histomorphometric data of healthy human kidneys are largely lacking due to laborious quantitation requirements. Correlating histomorphometric features with clinical parameters through machine learning approaches can provide valuable information about natural population variance...

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Detalles Bibliográficos
Autores principales: Ginley, Brandon, Lucarelli, Nicholas, Zee, Jarcy, Jain, Sanjay, Han, Seung Sook, Rodrigues, Luis, Ozrazgat-Baslanti, Tezcan, Wong, Michelle L., Nadkarni, Girish, Jen, Kuang-Yu, Sarder, Pinaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245721/
https://www.ncbi.nlm.nih.gov/pubmed/37292965
http://dx.doi.org/10.1101/2023.05.18.541348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245721/
https://www.ncbi.nlm.nih.gov/pubmed/37292965
http://dx.doi.org/10.1101/2023.05.18.541348

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