Deep learning algorithms for detection of diabetic macular edema in OCT images: A systematic review and meta-analysis.

Journal: European journal of ophthalmology
Published Date: Jan 1, 2023

Abstract

PURPOSE: Artificial intelligence (AI) can detect diabetic macular edema (DME) from optical coherence tomography (OCT) images. We aimed to evaluate the performance of deep learning neural networks in DME detection.

Authors

  • He-Yan Li
    Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, 117902Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Dai-Xi Wang
    12517Capital Medical University, Beijing, China.
  • Li Dong
    Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, China. donglikn199@163.com.
  • Wen-Bin Wei
    Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, 117902Beijing Tongren Hospital, Capital Medical University, Beijing, China.

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