Segmentation pipeline for parametric t1 mapping in cardiovascular magnetic_resonance to improve segmentation performance the manual and often time-consuming segmentation of the myocardium in cardiovascular magnetic_resonance is increasingly automated using convolutional neural_networks (cnns)

HIGHLIGHTS

• who: Darian Viezzer from the Universitu00e4t University of have published the research work: segmentation pipeline for parametric T1 mapping in cardiovascular magnetic_resonance to improve segmentation performance The manual and often time-consuming segmentation of the myocardium in cardiovascular magnetic_resonance is increasingly automated using convolutional neural_networks (CNNs), in the Journal: Scientific Reports Scientific Reports
• what: This study explored the impact of an upstream object detection as a quality enhancement of input data on the segmentation quality of parametric T1 maps. While this study showed the potential of an ODA in an automated segmentation pipeline, a future . . .
  

   

  

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