ANALYSIS OF TRANSFER LEARNING FOR SELECT RETINAL DISEASE CLASSIFICATION.

Journal: Retina (Philadelphia, Pa.)

Published Date: Jan 1, 2022

Abstract

PURPOSE: To analyze the effect of transfer learning for classification of diabetic retinopathy (DR) by fundus photography and select retinal diseases by spectral domain optical coherence tomography (SD-OCT).

Authors

Rony Gelman

Courant Institute of Mathematical Sciences, New York University, New York, New York; and.
Carlos Fernandez-Granda

Center for Data Science, Courant Institute of Mathematical Sciences, New York University.

Keywords

Algorithms Deep Learning Humans Neural Networks, Computer Reproducibility of Results Retina Retinal Diseases Tomography, Optical Coherence

External Resources

View on PubMed Access via DOI PubMed (34393210)

ANALYSIS OF TRANSFER LEARNING FOR SELECT RETINAL DISEASE CLASSIFICATION.

Abstract

Authors

Keywords

External Resources

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