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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Dettagli Bibliografici
Pubblicato in:J Am Soc Nephrol
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Society of Nephrology 2021
Soggetti:
Basic Research
Accesso online: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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