Automated segmentation of long and short axis dense cmr for myocardial strain analysis using spatio-temporal convolutional neural networks

HIGHLIGHTS

• who: Hugo Barbaroux from the (UNIVERSITY) have published the research: Automated segmentation of long and short axis DENSE CMR for myocardial strain analysis using spatio-temporal convolutional neural networks, in the Journal: (JOURNAL)
• what: The authors explore the use of DL to automate the segmentation of LV myocardial short and longaxis DENSE images. The authors show how temporal redundancies in cine sequences (2D + time) can be leveraged to improve segmentation performance and coherence. The authors also validated the performance of the MONAI pipeline implementation with regard to the original nnU-Net pipeline. The authors also . . .
  

   

  

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