Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases

Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases

Abstract Background Chronic kidney disease (CKD) causes progressive and irreversible damage to the kidneys. Renal biopsies are essential for diagnosing the etiology and prognosis of CKD, while accurate quantification of tubulo-interstitial injuries from whole slide images (WSIs) of renal biopsy spec...

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Main Authors: Nonoka Suzuki, Kaname Kojima, Silvia Malvica, Kenshi Yamasaki, Yoichiro Chikamatsu, Yuji Oe, Tasuku Nagasawa, Ekyu Kondo, Satoru Sanada, Setsuya Aiba, Hiroshi Sato, Mariko Miyazaki, Sadayoshi Ito, Mitsuhiro Sato, Tetsuhiro Tanaka, Kengo Kinoshita, Yoshihide Asano, Avi Z. Rosenberg, Koji Okamoto, Kosuke Shido
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-024-00708-3
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https://doi.org/10.1038/s43856-024-00708-3

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