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Automated Computational Detection of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis
BACKGROUND: Interstitial fibrosis, tubular atrophy (IFTA), and glomerulosclerosis are indicators of irrecoverable kidney injury. Modern machine learning (ML) tools have enabled robust, automated identification of image structures that can be comparable with analysis by human experts. ML algorithms w...
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| Publicat a: | J Am Soc Nephrol |
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| Autors principals: | , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Society of Nephrology
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8017538/ https://ncbi.nlm.nih.gov/pubmed/33622976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1681/ASN.2020050652 |
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