Classification of alzheimer’s disease using dual-phase 18f-florbetaben image with rank-based feature selection and machine learning

HIGHLIGHTS

• who: Hyun-Ji Shin et al. from the Department of Translational Biomedical Sciences, College of Medicine have published the paper: Classification of Alzheimer’s Disease Using Dual-Phase 18F-Florbetaben Image with Rank-Based Feature Selection and Machine Learning, in the Journal: (JOURNAL)
• what: The aim of this study is to prove that classification accuracy is higher when using FBB (dual FBB) versus dFBB quantitative analysis by using machine learning and to find an optimal machine learning model suitable for FBB quantitative analysis data. In the experiment, a composite SUVR regional SUVR were used. In . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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