Mci conversion prediction using 3d zernike moments and the improved dynamic particle swarm optimization algorithm

HIGHLIGHTS

  • who: Pouya Bolourchi and colleagues from the Electrical and Electronic Engineering, Final International University, Via Mersin, Girne, Turkey have published the Article: MCI Conversion Prediction Using 3D Zernike Moments and the Improved Dynamic Particle Swarm Optimization Algorithm, in the Journal: (JOURNAL)
  • what: The accurate prediction of MCI conversion is also important for clinical trials and research studies aimed at developing new treatments for AD as it helps ensure that clinical trials are conducted on the right patient population, increasing the likelihood of success. The aim of feature selection is to find an informative subset of . . .

     

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