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What is Sca Ai about?

This study proposes a novel approach for detecting sickle cell disease (SCD) in low-resource settings using transfer learning and contrastive learning techniques, coupled with Explainable Artificial Intelligence (XAI) for model interpretability. By fine-tuning pre-trained models such as ResNet-50, DenseNet-121, and EfficientNet-B0, and employing triplet loss to enhance model performance, the authors aim to improve diagnostic accuracy and efficiency. Experiments indicate that the proposed methods outperform

Author

ken

Language

EN