Streamlining the Histopathological Workflow in Diabetic Kidney Disease with Artificial Intelligence.

已完结 10 由 martin 发布于 2025/12/26 22:15:15

DOI:10.1681/asn.0000000923
作者：Christos Matsoukas,Tajana Tesan Tomic,Pernilla Tonelius,Esther Nu?ez-Duran,Lihuan Liang,Annika Wernerson,Johan M?lne,Robert I Menzies,Anna B Granqvist,Pernille B L Hansen,Kevin Smith,Magnus S?derberg
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1681/asn.0000000923

Wolters Kluwer Ovid

Abstract：BACKGROUND Assessment of pathology endpoints in animal models of diabetic kidney disease (DKD) is time-consuming and prone to expert bias. Additionally, the sparsity of human kidney biopsy

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