A computer-aided diagnostic system for diabetic retinopathy based on local and global extracted features

HIGHLIGHTS

  • who: Sayed Haggag and collaborators from the Electronics and Communications Department, Faculty of Engineering, University, Bioengineering Department, University of Louisville, Louisville, KY, USA have published the research work: A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features, in the Journal: (JOURNAL)
  • what: The aim of this paper is to present an automated platform for the detection and diagnosis of DR. Different methods in the literature have been proposed for the automated diagnosis of DR. The aim of this model is to predict DR using fundus images. The main motivation . . .

     

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