Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images

Machine learning applied to digital pathology has been increasingly used to assess kidney function and diagnose the underlying cause of chronic kidney disease (CKD). We developed a novel computational framework, clustering-based spatial analysis (CluSA), that leverages unsupervised learning to learn...

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Detalles Bibliográficos
Autores principales: Lee, Joonsang, Warner, Elisa, Shaikhouni, Salma, Bitzer, Markus, Kretzler, Matthias, Gipson, Debbie, Pennathur, Subramaniam, Bellovich, Keith, Bhat, Zeenat, Gadegbeku, Crystal, Massengill, Susan, Perumal, Kalyani, Saha, Jharna, Yang, Yingbao, Luo, Jinghui, Zhang, Xin, Mariani, Laura, Hodgin, Jeffrey B., Rao, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404289/
https://www.ncbi.nlm.nih.gov/pubmed/37543648
http://dx.doi.org/10.1038/s41598-023-39591-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404289/
https://www.ncbi.nlm.nih.gov/pubmed/37543648
http://dx.doi.org/10.1038/s41598-023-39591-8

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