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

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

In this study, an ensemble of fine‐tuned convolutional neural networks (CNNs) is proposed. As CNN training requires large annotated data, which are lacking in the field of urine sediment microscopic image processing, the authors first pre‐trained the CNNs, including ResNet50 and GoogLeNet, and devel...

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Bibliographic Details
Main Authors: Wenqian Liu, Weihong Li, Weiguo Gong
Format: Article
Language:English
Published: Wiley 2020-02-01
Series:IET Computer Vision
Subjects:
urine sediment microscopic image processing
pre-trained CNNs
urine sediment microscopic image dataset
learning rate
cascading features
convolutional layers
Online Access:https://doi.org/10.1049/iet-cvi.2018.5829

Internet

https://doi.org/10.1049/iet-cvi.2018.5829

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