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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Detaylı Bibliyografya
Yayımlandı:J Am Soc Nephrol
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: American Society of Nephrology 2021
Konular:
Basic Research
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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