Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification

Research article (Applied Sciences, 2022) · cited 33× · AI/ML
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Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification

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Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/balancing-data-through-data-augmentation-improves-the-generality-of-transfer-learning-for-diabetic-retinopathy-classific
MLA “Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/balancing-data-through-data-augmentation-improves-the-generality-of-transfer-learning-for-diabetic-retinopathy-classific.
BibTeX @misc{4ortxyz_balancing-data-through-data-augmentation-improves-the-generality-of-transfer-learning-for-diabetic-retinopathy-classific_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Balancing Data through Data Augmentation Improves the Generality of Transfer Learning for Diabetic Retinopathy Classification}}, year = {2026}, url = {https://4ort.xyz/entity/balancing-data-through-data-augmentation-improves-the-generality-of-transfer-learning-for-diabetic-retinopathy-classific}, note = {Accessed: 2026-05-24}}
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