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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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| Yayımlandı: | J Am Soc Nephrol |
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| Asıl Yazarlar: | , , , , , , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
American Society of Nephrology
2021
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| Konular: | |
| Online Erişim: | 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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