Recognition of Glaucomatous Fundus Images Using Machine Learning Methods Based on Optic Nerve Head Topographic Features.

Journal: Journal of glaucoma
PMID: 38546234

Abstract

PRCIS: Machine learning classifiers are an effective approach to detecting glaucomatous fundus images based on optic disc topographic features making it a straightforward and effective approach.

Authors

  • Chao-Wei Wu
    Department of Ophthalmology, Kaohsiung Medical University Hospital.
  • Tzu-Yu Huang
    Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung City, Taiwan.
  • Yeong-Cheng Liou
    Department of Healthcare Administration and Medical Informatics, 38023Kaohsiung Medical University, Kaohsiung 807, Taiwan.
  • Shih-Hsin Chen
    Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan (R.O.C.).
  • Kwou-Yeung Wu
    Department of Ophthalmology, Kaohsiung Medical University Hospital.
  • Han-Yi Tseng
    Department of Ophthalmology, Kaohsiung Medical University Hospital.

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