Graph-based motion artifacts detection method from head computed tomography images

HIGHLIGHTS

  • who: Yiwen Liu et al. from the School of Computer Science and Engineering, Northeastern University, Shenyang, China have published the article: Graph-Based Motion Artifacts Detection Method from Head Computed Tomography Images, in the Journal: Sensors 2022, 5666 of 22/06/2022
  • what: For the sake of the comprehensiveness and specificity, the authors design a two-level graph construction method based on the complex network theory; the process of constructing 4 of 11 pixel-level and slice-level graph is as follows. Based on the Complex Networks investigated, pixel-level and slice-level topological characteristics . . .

     

    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 ?