Construction of artificial intelligence non-invasive diagnosis model for common glomerular diseases based on hyperspectral and urine analysis-Reference-Cited by-同舟云学术

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Construction of artificial intelligence non-invasive diagnosis model for common glomerular diseases based on hyperspectral and urine analysis

Published:2023-12 Issue: Volume:44 Page:103736
ISSN:1572-1000
Container-title:Photodiagnosis and Photodynamic Therapy
language:en
Short-container-title:Photodiagnosis and Photodynamic Therapy

Author:

Hou Xiangyu,Tian Chongxuan,Liu Wen,Li Yang,Li Wei,Wang Zunsong

Publisher

Elsevier BV

Subject

Pharmacology (medical),Dermatology,Oncology,Biophysics

Reference13 articles.

1. New insights into the treatment of glomerular diseases: when mechanisms become vivid;Lin;Int. J. Mol. Sci.,2022

2. Renal biopsy: still a landmark for the nephrologist;Visconti;World J. Nephrol.,2016

3. The timing and presentation of major hemorrhage after 18,947 image-guided percutaneous biopsies;Atwell;AJR Am. J. Roentgenol.,2015

4. Liquid biopsies: donor-derived cell-free DNA for the detection of kidney allograft injury;Oellerich;Nat. Rev. Nephrol.,2021

5. Nanotechnology in emerging liquid biopsy applications;Kalogianni;Nano Converg.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latest Research Progress of Liquid Biopsy in Tumor—A Narrative Review;Cancer Management and Research;2024-08

2. Automation and Decision Support in the Area of Nephrology Using Numerical Algorithms, Artificial Intelligence, and Expert Approach: Review of the Current State of Knowledge;IEEE Access;2024

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