Ensemble of fine‐tuned convolutional neural networks for urine sediment microscopic image classification-Reference-Cited by-同舟云学术

Ensemble of fine‐tuned convolutional neural networks for urine sediment microscopic image classification

Published:2020-01-20 Issue:1 Volume:14 Page:18-25
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Liu Wenqian¹,Li Weihong¹,Gong Weiguo¹

Affiliation:

1. Key Lab of Optoelectronic Technology and Systems Ministry of EducationCollege of Optoelectronic Engineering, Chongqing UniversityRoom 1303, Main Building, No.174 Shazheng Street, Shapingba DistrictChongqingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5829

Reference42 articles.

1. The Global Epidemiology of Diabetes and Kidney Disease

2. Análisis de sedimento urinario

3. The Urine Sediment as a Biomarker of Kidney Disease

4. Comparison of five automated urine sediment analyzers with manual microscopy for accurate identification of urine sediment

5. A New Method Based on Adaptive Discrete Wavelet Entropy Energy and Neural Network Classifier (ADWEENN) for Recognition of Urine Cells from Microscopic Images Independent of Rotation and Scaling

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