Original paper
A data-driven approach to referable diabetic retinopathy detection
Abstract
Prior art on automated screening of diabetic retinopathy and direct referral decision shows promising performance; yet most methods build upon complex hand-crafted features whose performance often fails to generalize.We investigate data-driven approaches that extract powerful abstract representations directly from retinal images to provide a reliable referable diabetic retinopathy detector.We gradually build the solution based on convolutional...
Paper Details
Title
A data-driven approach to referable diabetic retinopathy detection
Published Date
May 1, 2019
Volume
96
Pages
93 - 106
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History