Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
CBAM-enhanced convolutional networks for diabetic retinopathy classification in the ODIR dataset
Related
- Diabetic retinopathy feature utilisation in 54 convolutional neural networks: a heatmap analysis
- MedFuse: dual-stream fusion of convolutional and vision transformer-based features for enhanced medical image classification
- Interpretable Diabetic Retinopathy Classification Using Hybrid ConvNeXt–MLP-Mixer and ConvNeXt–PoolFormer Architectures
- Diffusion-augmented contrastive learning for diabetic retinopathy severity classification
- EIF1 coordinates transcriptomic and splicing networks associated with cell cycle dysregulation in diabetic retinopathy
BibTeX
@article{byeon2026cbamenhanced,
title = {{CBAM-enhanced convolutional networks for diabetic retinopathy classification in the ODIR dataset}},
author = {Haewon Byeon},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-75629-3},
url = {https://www.nature.com/articles/s41598-026-75629-3},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - CBAM-enhanced convolutional networks for diabetic retinopathy classification in the ODIR dataset
AU - Haewon Byeon
PY - 2026
DA - 2026/10/13
JO - Scientific Reports
DO - 10.1038/s41598-026-75629-3
UR - https://www.nature.com/articles/s41598-026-75629-3
SN - 2045-2322
ER -