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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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Dades bibliogràfiques
Publicat a:J Am Soc Nephrol
Autors principals: Ginley, Brandon, Jen, Kuang-Yu, Han, Seung Seok, Rodrigues, Luís, Jain, Sanjay, Fogo, Agnes B., Zuckerman, Jonathan, Walavalkar, Vighnesh, Miecznikowski, Jeffrey C., Wen, Yumeng, Yen, Felicia, Yun, Donghwan, Moon, Kyung Chul, Rosenberg, Avi, Parikh, Chirag, Sarder, Pinaki
Format: Artigo
Idioma:Inglês
Publicat: American Society of Nephrology 2021
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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