Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System-Reference-Cited by-同舟云学术

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Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System

Published:2020-12-16 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Fei Yue,Huang Xiaoqian,Chen Qinqun,Chen Jiamin,Li Li,Hong Jiaming,Hao Zhifeng,Wei Hang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9312958/9312977/09313143.pdf?arnumber=9313143

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multimodal dual-branch fusion network for fetal hypoxia detection;Expert Systems with Applications;2025-01

2. DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification;Biomedical Signal Processing and Control;2024-08

3. A Novel Active Learning Technique for Fetal Health Classification Based on Xgboost Classifier;2024

4. Improve Classification Quality of Fetal Status from Cardiotocogram Data by Using Machine Learning;2023 1st International Conference on Health Science and Technology (ICHST);2023-12-28

5. Research on multimodal deep learning based on CNN and ViT for intrapartum fetal monitoring;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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