Multi-modal body part segmentation of infants using deep learning

HIGHLIGHTS

• who: Florian Voss from the RWTH University, and Systems, Duisburg, Germany have published the article: Multi-modal body part segmentation of infants using deep learning, in the Journal: (JOURNAL)
• what: In this work, a deep learning model was developed that automatically segments the individual body parts of infants. The results of this work demonstrate new methods for improving infant segmentation results and may help provide more insight into the problems and challenges of infant body part segmentation, especially in light of the still limited amount of data available for this application.
• how: With . . .
  

   

  

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