Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG.
Katharina JägerMichael NissenRobert RicherSimone RahmAdriana TitzmannPeter A. FaschingBjoern M. EskofierHeike LeutheuserPublished 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