Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG.

Katharina Jäger Michael Nissen Robert Richer Simone Rahm Adriana Titzmann Peter A. Fasching Bjoern M. Eskofier Heike Leutheuser

Published in: BHI (2022)

Keyphrases

fetal brain
machine learning
heart rate
mr images
ultrasound images
magnetic resonance imaging
decision trees
detection accuracy
magnetic resonance images

automatic detection
machine learning methods
detection method
reinforcement learning
text mining
inductive learning
learning tasks
multimedia
false positives

knowledge acquisition
pattern recognition
object detection
heart rate variability
noise reduction
magnetic resonance
neural network
atlas based segmentation

feature selection
information extraction
false alarms
computational intelligence
medical images
text classification
detection algorithm
face detection