2020
DOI: 10.1016/j.future.2020.04.036
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Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network

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Cited by 168 publications
(76 citation statements)
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“…combined with FCN. This system can realize the rapid detection and recognition of small targets in remote sensing images with high accuracy [21].…”
Section: Plos Onementioning
confidence: 99%
“…combined with FCN. This system can realize the rapid detection and recognition of small targets in remote sensing images with high accuracy [21].…”
Section: Plos Onementioning
confidence: 99%
“…BP Neural Network. Artificial neural networks (ANNs) can simulate biological neurons and work by imitating the information transmission mode of biological neurons [22][23][24][25][26][27]. e structure of biological neurons is shown in Figure 2.…”
Section: Construction Of the Obesity Monitoringmentioning
confidence: 99%
“…Fuzhe Ma et al [33] proposed the deep learning algorithm for predicting the Chronic Kidney Disease s at early stage. The deep neural network was built from Heterogeneous Modified artificial neural network algorithm.…”
Section: Blood Pressurementioning
confidence: 99%