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Glomerular and Nephron Size and Kidney Disease Outcomes: A Comparison of Manual Versus Deep Learning Methods in Kidney Pathology.

作者信息

Jagtap Jaidip M, Janowczyk Andrew R, Chen Yijiang, Shaik Afsana A, Mullan Aidan F, Erickson Bradley J, Sharma Vidit, Kline Timothy L, Barisoni Laura, Denic Aleksandar, Rule Andrew D

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN.

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN.

出版信息

Kidney Med. 2024 Nov 28;7(1):100939. doi: 10.1016/j.xkme.2024.100939. eCollection 2025 Jan.

DOI:10.1016/j.xkme.2024.100939
PMID:39807248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11728938/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d91/11728938/30af5557a271/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d91/11728938/30af5557a271/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d91/11728938/30af5557a271/gr1.jpg

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本文引用的文献

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Morphometric analysis of chronicity on kidney biopsy: a useful prognostic exercise.肾活检中慢性化的形态计量分析:一项有用的预后评估。
Clin Kidney J. 2024 Feb 5;17(2):sfad226. doi: 10.1093/ckj/sfad226. eCollection 2024 Feb.
2
Tubular and Glomerular Size by Cortex Depth as Predictor of Progressive CKD after Radical Nephrectomy for Tumor.肾肿瘤根治性切除术后按皮质深度预测肾小管和肾小球大小与进展性慢性肾脏病的关系
J Am Soc Nephrol. 2023 Sep 1;34(9):1535-1545. doi: 10.1681/ASN.0000000000000180. Epub 2023 Jul 11.
3
Next-Generation Morphometry for pathomics-data mining in histopathology.
下一代形态计量学在组织病理学病理组学数据挖掘中的应用。
Nat Commun. 2023 Jan 28;14(1):470. doi: 10.1038/s41467-023-36173-0.
4
Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.基于连续两个卷积神经网络对肾脏样本中组织学预后因素的自动评估
Clin J Am Soc Nephrol. 2022 Feb;17(2):260-270. doi: 10.2215/CJN.07830621. Epub 2021 Dec 3.
5
Larger Nephron Size and Nephrosclerosis Predict Progressive CKD and Mortality after Radical Nephrectomy for Tumor and Independent of Kidney Function.大肾单位体积和肾硬化预测肿瘤根治性肾切除术后 CKD 进展和死亡率,与肾功能无关。
J Am Soc Nephrol. 2020 Nov;31(11):2642-2652. doi: 10.1681/ASN.2020040449. Epub 2020 Sep 16.
6
Digital pathology and computational image analysis in nephropathology.数字病理学和肾脏病学中的计算图像分析。
Nat Rev Nephrol. 2020 Nov;16(11):669-685. doi: 10.1038/s41581-020-0321-6. Epub 2020 Aug 26.
7
Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains.基于深度学习的多种组织学染色下肾皮质组织结构分割的开发与评估
Kidney Int. 2021 Jan;99(1):86-101. doi: 10.1016/j.kint.2020.07.044. Epub 2020 Aug 22.
8
HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides.HistoQC:一种用于数字病理切片的开源质量控制工具。
JCO Clin Cancer Inform. 2019 Apr;3:1-7. doi: 10.1200/CCI.18.00157.
9
Clinical and Pathology Findings Associate Consistently with Larger Glomerular Volume.临床和病理表现与更大的肾小球体积相关。
J Am Soc Nephrol. 2018 Jul;29(7):1960-1969. doi: 10.1681/ASN.2017121305. Epub 2018 May 22.
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A principle for counting tissue structures on random sections.随机切片上组织结构计数的原则。
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