Data augmentation via warping transforms for modeling natural variability in the corneal endothelium enhances semi-supervised segmentation

Data augmentation via warping transforms for modeling natural variability in the corneal endothelium enhances semi-supervised segmentation

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Bibliographic Details
Main Authors: Sergio Sanchez, Noelia Vallez, Gloria Bueno, Andres G. Marrugo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11556704/?tool=EBI
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