Optical Coherence Tomography (OCT) is a technique to image ... A vision-GNN framework for retinopathy classification using optical coherence tomography.
A Vision-GNN Framework for Retinopathy Classification using ...
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Early detection and treatment minimize vision impairment. Optical Coherence Tomography (OCT) provides high- resolution macular images, non-invasively aiding ...
A vision-GNN framework for retinopathy classification using optical coherence tomography ... OCT correlate well with visual acuity and with leakage observed by ...
A vision-GNN framework for retinopathy classification using optical coherence tomography ... Han, Vision GNN: An Image is Worth Graph of Nodes; J. Deng, W ...
In this work, we propose an end-to-end Graph Neural Network (GNN) pipeline that can extract deep graph-based features for multi-class retinopathy classification ...
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Jul 8, 2022 · We developed a DR classification framework and trained it using volumetric OCT and OCTA to classify eyes into rDR and vtDR. For the scans ...
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Trusted by researchers and organizations around the world ; A vision-GNN framework for retinopathy classification using optical coherence tomography · Hu · Wang.
Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration. · Medicine, ...
May 29, 2023 · Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy. ... Vision GNN: An image is worth graph ...
A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
www.ncbi.nlm.nih.gov › PMC9914068
Jan 18, 2023 · This study provides a review of the present literature in this area with a focus on how DL is being used for DR detection and grading from ...