In this paper, we propose a novel method for weakly supervised localization and classification of biomarkers in OCT images, named LCG-Net, based on generative ...
In this paper, we propose a novel method for weakly supervised localization and classification of biomarkers in OCT images, named LCG-Net, based on generative ...
Feb 1, 2023 · Abstract. The localization and segmentation of biomarkers in OCT images are critical steps in retina-related disease diagnosis.
This paper proposes a novel weakly supervised biomarkers localization and segmentation method, requiring only image-level annotations. The technique is a ...
Missing: integrated reconstruction attention.
TSSK-Net: Weakly supervised biomarker localization and ...
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This paper proposes a novel weakly supervised biomarkers localization and segmentation method, requiring only image-level annotations. The technique is a ...
Jul 7, 2021 · As such, this study proposes a weakly supervised learning network based on CycleGAN for lesions segmentation in full-width optical coherence ...
Missing: biomarkers integrated
Sep 29, 2022 · Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention · Biomedical Signal ...
... Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention Biomed. Signal Process. Control ...
Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attention ... Biomed. Signal Process. Control.
Experimental results show that the proposed weakly supervised learning-based approach can reliably pinpoint the location of cancerous evidence supporting ...