Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model
The inclusion of DL methods on CTG signals may complement imaging technologies and improve the early detection of IUGR.
Authors
- Edoardo Spairani (ORCID: https://orcid.org/0009-0005-1113-0075)
- Giovanni Magenes (ORCID: https://orcid.org/0000-0002-7558-1490)
- M.G. Signorini (ORCID: https://orcid.org/0000-0002-9391-9846)
- Giulio Steyde (ORCID: https://orcid.org/0000-0002-2078-6173)
- Federica Spuri Forotti
Institutions
- University of Pavia (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-04-05
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110123
- Primary Topic
- Time Series Analysis and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00