Automatic segmentation of corneal deposits from corneal stromal dystrophy images via deep learning
Abstract
Granular dystrophy is the most common stromal dystrophy. To perform automated segmentation of corneal stromal deposits, we trained and tested a deep learning (DL) algorithm from patients with corneal stromal dystrophy and compared its performance with human segmentation. In this retrospective cross-sectional study, we included slit-lamp photographs by sclerotic scatter from patients with corneal stromal dystrophy and real-world slit-lamp...
Paper Details
Title
Automatic segmentation of corneal deposits from corneal stromal dystrophy images via deep learning
Published Date
Oct 1, 2021
Volume
137
Pages
104675 - 104675
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