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Arxiv
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A Novel Adaptive Hybrid Focal-Entropy Loss for Enhancing Diabetic Retinopathy Detection Using Convolutional Neural Networks
- A Novel Adaptive Hybrid Focal-Entropy Loss for Enhancing Diabetic Retinopathy Detection Using Convolutional Neural Networks
- Diabetic retinopathy is a leading cause of blindness and precise AI-based diagnostic tools are needed.
- The Adaptive Hybrid Focal-Entropy Loss addresses class imbalance and challenges in diabetic retinopathy detection.
- The proposed method achieved improved performance with various models, indicating its potential in complex medical datasets.
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