Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
Abstract
Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep learning models that automatically learn relevant features for specific tasks, instead of designing visual features manually. Nevertheless, providing...
Paper Details
Title
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
Published Date
Sep 1, 2019
Volume
178
Pages
181 - 189
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