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Deep Learning Models for Fetal Monitoring and Decision Support in labour
Jordanov, Ivan
(PI)
Lee, Raymond
(CoI)
Georgieva, Antoniya
(CoI)
Namburete, Ana
(CoI)
School of Computing
Faculty of Technology
University of Oxford
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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INIS
labor
100%
monitoring
100%
learning
100%
neural networks
60%
data
40%
fetuses
20%
starvation
20%
graphs
20%
contraction
20%
dies
20%
gold
20%
devices
20%
risks
20%
clinical trials
20%
datasets
20%
prediction
20%
hands
20%
detection
20%
oxygen
20%
birth
20%
computer codes
20%
hybrids
20%
evaluation
20%
applications
20%
injuries
20%
brain
20%
emergencies
20%
interventions
20%
tools
20%
Medicine and Dentistry
Fetus Monitoring
100%
Cardiotocography
100%
Uterine Contraction
25%
Short Term Memory
25%
Randomized Clinical Trial
25%
Organic Acidemia
25%
Brain Injury
25%
Fetal Heart Rate
25%
Diagnosis
25%
Surgery
25%