Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 29 of 118 found articles
 
 
  DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor
 
 
Title: DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor
Author: Ben M'Barek, Imane
Jauvion, Grégoire
Merrer, Jade
Koskas, Martin
Sibony, Olivier
Ceccaldi, Pierre – François
Le Pennec, Erwan
Stirnemann, Julien
Appeared in: Computers in biology and medicine
Paging: Volume 184 () nr. C pages p.
Year: 2025
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 29 of 118 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands