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Multi-Label Retinal Disease Detection

Built a multi-label retinal imaging pipeline and fine-tuned CNNs for DR, Glaucoma, and AMD.

Developed the pipeline and contributed to model fine-tuning.

Used Python, PyTorch, ResNet18, EfficientNet, and pretrained CNNs.

Built a multi label medical imaging pipeline for DR, Glaucoma, and AMD.

Fine tuned pretrained CNNs.

Handled class imbalance with Focal and CB Loss.

Applied attention modules and ensemble strategies with TTA.

Discuss the methods

To discuss transfer learning and multi-label retinal image classification, get in touch.