Conditional generative adversarial networks for data augmentation of a neonatal image dataset

HIGHLIGHTS

• who: Simon Lyra and collaborators from the Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany have published the research work: Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset, in the Journal: Sensors 2023, 23, 999. of /2023/
• what: To enlarge such datasets this study investigates the application of a adversarial network for data augmentation by using edge detection frames from neonates to create RGB images. The focus of this work was to study the proofof-concept for the augmentation of a clinical dataset by using another . . .
  

   

  

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