A Deep Learning Network for Accurate Retinal Multidisease Diagnosis Using Multiview Fusion of En Face and B-Scan Images: A Multicenter Study.

Journal: Translational vision science & technology
PMID: 39693092

Abstract

PURPOSE: Accurate diagnosis of retinal disease based on optical coherence tomography (OCT) requires scrutiny of both B-scan and en face images. The aim of this study was to investigate the effectiveness of fusing en face and B-scan images for better diagnostic performance of deep learning models.

Authors

  • Chubin Ou
    Faculty of Medicine and Health, Macquarie University, 75 Talavera Road, Sydney, Australia.
  • Xifei Wei
    Guangdong Eye Intelligent Medical Imaging Equipment Engineering Technology Research Center, Foshan, China.
  • Lin An
    Bioinformatics and Genomics Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.
  • Jia Qin
    Innovation and Entrepreneurship Teams Project of Guangdong Provincial Pearl River Talents Program, Guangdong Weiren Meditech Co. Ltd, Foshan, Guangdong, China.
  • Min Zhu
    Department of Infectious Diseases, Affiliated Taizhou Hospital of Wenzhou Medical University, No.50 Ximeng Road, Taizhou, 317000, China.
  • Mei Jin
    School of Electrical Engineering, Yanshan University, Qinhuangdao, China.
  • Xiangbin Kong
    Department of Ophthalmology, Affiliated Foshan Hospital, Southern Medical University, Foshan, Guangdong, China.

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