Prediction of chronic kidney disease stages by renal ultrasound imaging-Reference-Cited by-同舟云学术

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Prediction of chronic kidney disease stages by renal ultrasound imaging

Published:2019-03-26 Issue:2 Volume:14 Page:178-195
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Chen Chi-Jim¹,Pai Tun-Wen¹²,Hsu Hui-Huang³,Lee Chien-Hung⁴,Chen Kuo-Su⁴,Chen Yung-Chih⁵

Affiliation:

1. Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan

2. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan

3. Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan

4. Department of Nephrology, Chang-Gung Memorial Hospital, Keelung, Taiwan

5. Department of General Intern, Chang-Gung Memorial Hospital, Keelung, Taiwan

Funder

National Taipei University of Technology

Keelung Chang-Gung Memorial Hospital

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2019.1597386

Reference26 articles.

1. Improved Accuracy of Myocardial Perfusion SPECT for the Detection of Coronary Artery Disease Using a Support Vector Machine Algorithm

2. Grey Level Co-Occurrence Matrices: Generalisation and Some New Features

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1. Using MRI Texture Analysis Machine Learning Models to Assess Graft Interstitial Fibrosis and Tubular Atrophy in Patients with Transplanted Kidneys;Information;2024-09-03

2. A narrative review on the application of artificial intelligence in renal ultrasound;Frontiers in Oncology;2024-03-01

3. Automatic classification of kidney CT images with relief based novel hybrid deep model;PeerJ Computer Science;2023-11-30

4. A novel computing scheme based on pattern matching for identification of nephron loss and chronic kidney disease stage;Turkish Journal of Electrical Engineering and Computer Sciences;2023-11-30

5. Hybrid classification framework for chronic kidney disease prediction model;The Imaging Science Journal;2023-06-22

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