On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress
Author:
Affiliation:
1. School of Cyberspace, Hangzhou Dianzi University,Hangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10472302/10472335/10472344.pdf?arnumber=10472344
Reference29 articles.
1. Doppler Ultrasound Technology for Fetal Heart Rate Monitoring: A Review
2. IoT-Based Smart Health System for Ambulatory Maternal and Fetal Monitoring
3. An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification
4. Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine
5. Analysis of cardiotocogram data for fetal distress determination by decision tree based adaptive boosting approach;Esra;Journal of Computer and Communications,2014
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