Automatic segmentation of corneal deposits from corneal stromal dystrophy images via deep learning

Volume: 137, Pages: 104675 - 104675
Published: Oct 1, 2021
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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