Transfer Learning and Multi-Feature Fusion-Based Deep Learning Model for Idiopathic Macular Hole Diagnosis and Grading from Optical Coherence Tomography Images.

Journal: Clinical ophthalmology (Auckland, N.Z.)
Published Date: May 16, 2025

Abstract

BACKGROUND: Idiopathic macular hole is an ophthalmic disease that seriously affects vision, and its early diagnosis and treatment have important clinical significance to reduce the occurrence of blindness. At present, OCT is the gold standard for diagnosing this disease, but its application is limited due to the need for professional ophthalmologist to diagnose it. The introduction of artificial intelligence will break this situation and make its diagnosis efficient, and how to build an effective predictive model is the key to the problem, and more clinical trials are still needed to verify it.

Authors

  • Ye-Ting Lin
    Department of Ophthalmology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
  • Xu Xiong
    Department of Orthopedics, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University.
  • Ying-Ping Zheng
    Department of Product Design, Jiangxi Normal University, Nanchang, Jiangxi, People's Republic of China.
  • Qiong Zhou
    Department of Cardiology Third Ward, Jingzhou First People's Hospital, No. 8 Hangkang Road, Jingzhou, Hubei Province 434000, China.

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