A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning

HIGHLIGHTS

  • who: . et al. from the Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK have published the article: A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning, in the Journal: (JOURNAL)
  • what: The authors propose a fully automatic two-dimensional Unet model to segment the aorta and coronary arteries on CTCA images. The algorithmic and graphical processing unit memory efficiencies are maintained such that the model can be deployed without requiring graphical processing units and therefore can be used in a hospital setting . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?