FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning

Research article (Expert Systems with Applications, 2023) · cited 16× · AI/ML
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FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning

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FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/fgr-net-interpretable-fundus-image-gradeability-classification-based-on-deep-reconstruction-learning
MLA “FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fgr-net-interpretable-fundus-image-gradeability-classification-based-on-deep-reconstruction-learning.
BibTeX @misc{4ortxyz_fgr-net-interpretable-fundus-image-gradeability-classification-based-on-deep-reconstruction-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning}}, year = {2026}, url = {https://4ort.xyz/entity/fgr-net-interpretable-fundus-image-gradeability-classification-based-on-deep-reconstruction-learning}, note = {Accessed: 2026-05-24}}
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