A deep feature fusion network for fetal state assessment

HIGHLIGHTS

• who: November et al. from the University of Campania Luigi Vanvitelli, Italy have published the paper: A deep feature fusion network for fetal state assessment, in the Journal: (JOURNAL)
• what: The authors propose a novel DFFN for fetal status assessment. The authors use 552 recordings from the public database and 784 recordings from the private database for fetal state assessment. For the following reasons, UC signals are not used in this study: 1) A lowquality UC signal will severely reduce classification accuracy. In this paper, they are calculated based on FIGO guidelines (Ayres-de Campos . . .
  

   

  

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