Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning.

Journal: Translational vision science & technology
PMID: 33384884

Abstract

PURPOSE: To assess the use of deep learning for high-performance image classification of color-coded corneal maps obtained using a Scheimpflug camera.

Authors

  • Hazem Abdelmotaal
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt.
  • Magdi M Mostafa
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt.
  • Ali N R Mostafa
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt.
  • Abdelsalam A Mohamed
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt.
  • Khaled Abdelazeem
    Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, Egypt.

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