Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network

Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network

Background: Electronic fetal monitoring (EFM) is widely applied as a routine diagnostic tool by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual interpretation of the FHR usually leads to significant inter-observer and intra-observer variability, and false po...

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Bibliographic Details
Main Authors: Zhidong Zhao, Yang Zhang, Zafer Comert, Yanjun Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Physiology
Subjects:
computer-aided diagnosis system
fetal heart rate signal
recurrence plot
convolutional neural network
optimization experiment
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2019.00255/full

Internet

https://www.frontiersin.org/article/10.3389/fphys.2019.00255/full

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