Automatic graph cut segmentation of lesions in ct using mean shift superpixels

HIGHLIGHTS

• who: Xujiong Ye et al. from the RandD Department, Medicsight PLC, Hammersmith Road, London , UD, UK have published the research: Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels, in the Journal: (JOURNAL) of 29/04/2010
• what: The aim of this paper is to develop an automatic and robust superpixel-based graph cut method for accurate segmentation of different types of lesions in CT imaging including solid and GGO nodules, as well as colonic polyps. The aim of this section is to group superpixels into two classes: foreground (lesion) and background . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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