Assessing spectral effectiveness in color fundus photography for deep learning classification of retinopathy of prematurity.

Journal: Journal of biomedical optics
PMID: 38912212

Abstract

SIGNIFICANCE: Retinopathy of prematurity (ROP) poses a significant global threat to childhood vision, necessitating effective screening strategies. This study addresses the impact of color channels in fundus imaging on ROP diagnosis, emphasizing the efficacy and safety of utilizing longer wavelengths, such as red or green for enhanced depth information and improved diagnostic capabilities.

Authors

  • Behrouz Ebrahimi
    Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
  • David Le
    Department of Bioengineering, 14681University of Illinois at Chicago, Chicago, IL 60607, USA.
  • Mansour Abtahi
    Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
  • Albert K Dadzie
    Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, 60607, USA.
  • Alfa Rossi
    University of Illinois, Chicago, Department of Biomedical Engineering, Chicago, Illinois, United States.
  • Mojtaba Rahimi
    University of Illinois, Chicago, Department of Biomedical Engineering, Chicago, Illinois, United States.
  • Taeyoon Son
    Department of Bioengineering, 14681University of Illinois at Chicago, Chicago, IL 60607, USA.
  • Susan Ostmo
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • J Peter Campbell
    Department of Ophthalmology, Oregon Health and Science University, Portland, Oregon.
  • R V Paul Chan
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois.
  • Xincheng Yao
    Department of Bioengineering, 14681University of Illinois at Chicago, Chicago, IL 60607, USA.

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