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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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