Automated Classification of Inherited Retinal Diseases in Optical Coherence Tomography Images Using Few-shot Learning.

Journal: Biomedical and environmental sciences : BES
Published Date:

Abstract

OBJECTIVE: To develop a few-shot learning (FSL) approach for classifying optical coherence tomography (OCT) images in patients with inherited retinal disorders (IRDs).

Authors

  • Qi Zhao
  • Si Wei Mai
    Department of Computer Science, Rutgers, The State University of New Jersey, New Brunswick 08901, USA.
  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Guan Chong Huang
    Department of Computer Science and Engineering, University at Buffalo, Buffalo 14260, USA.
  • Ming Chen Gao
    Department of Computer Science and Engineering, University at Buffalo, Buffalo 14260, USA.
  • Wen Li Yang
    Department of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing 100730, China.
  • Ge Wang
    Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, New York, USA.
  • Ya Ma
    School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, People's Republic of China.
  • Lei Li
    Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
  • Xiao Yan Peng
    Department of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing 100730, China.