Color fundus photograph-based diabetic retinopathy grading via label relaxed collaborative learning on deep features and radiomics features.

Journal: Frontiers in cell and developmental biology
Published Date: Jan 9, 2025

Abstract

INTRODUCTION: Diabetic retinopathy (DR) has long been recognized as a common complication of diabetes, making accurate automated grading of its severity essential. Color fundus photographs play a crucial role in the grading of DR. With the advancement of artificial intelligence technologies, numerous researchers have conducted studies on DR grading based on deep features and radiomic features extracted from color fundus photographs.

Authors

  • Chao Zhang
    School of Information Engineering, Suqian University, Suqian, Jiangsu, China.
  • Guanglei Sheng
    School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China.
  • Jie Su
    School of Information Engineering, Suqian University, Suqian, Jiangsu, China.
  • Lian Duan
    Department of Medical Informatics, Nantong University, Nantong, Jiangsu, China.

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