2021 29th European Signal Processing Conference (EUSIPCO) 2021
DOI: 10.23919/eusipco54536.2021.9616159
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A Self-Training Framework for Glaucoma Grading In OCT B-Scans

Abstract: In this paper, we present a self-training-based framework for glaucoma grading using OCT B-scans under the presence of domain shift. Particularly, the proposed twostep learning methodology resorts to pseudo-labels generated during the first step to augment the training dataset on the target domain, which is then used to train the final target model. This allows transferring knowledge-domain from the unlabeled data. Additionally, we propose a novel glaucoma-specific backbone which introduces residual and attent… Show more

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Cited by 2 publications
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