Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images

Eugenia Moris; Ignacio Larrabide; José Ignacio Orlando

2024 MIDL MIDL 2024

Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Vision

Authors

Eugenia Moris, Ignacio Larrabide, José Ignacio Orlando

Topics

Machine Learning > Learning Types > Self-Supervised Learning Machine Learning > Application Areas > Domain Adaptation Computer Vision > Analysis > Semantic Segmentation

Keywords

fundus image noisy student optic disc segmentation cup pseudo-labelings

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