Retinal Lesion Detection With Deep Learning Using Image Patches.

Journal: Investigative ophthalmology & visual science
Published Date: Jan 1, 2018

Abstract

PURPOSE: To develop an automated method of localizing and discerning multiple types of findings in retinal images using a limited set of training data without hard-coded feature extraction as a step toward generalizing these methods to rare disease detection in which a limited number of training data are available.

Authors

  • Carson Lam
    Department of Biomedical Data Science, Stanford University, Stanford, California, United States.
  • Caroline Yu
    Stanford University School of Medicine, Stanford, California, United States.
  • Laura Huang
    Department of Ophthalmology, Stanford University School of Medicine, Stanford, California, United States.
  • Daniel Rubin
    Department of Radiology, Stanford University, Stanford, CA, USA.

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