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Retrieved on: 2025-05-20 20:42:56
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Summary
The article discusses the DNBCD model's ability to predict breast cancer using deep learning methods, focusing on its performance measures like accuracy and recall. These measures, including statistical tools like the confusion matrix, precision, and AUC, relate to the article's exploration of 'Explainable AI' by utilizing Grad-CAM for interpretability. Tags like "Machine learning," "Statistical classification," and "Accuracy and precision" align with this goal, showcasing the model's high performance and practical application insights.
Article found on: www.nature.com
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