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BreastXAgent: A lightweight agentic explainability framework for breast density classification
Deep learning models for breast density classification typically return only a label and confidence score. This paper presents BreastXAgent, a lightweight agentic framework that combines a pretrained classifier, Grad-CAM visual explanation, LangGraph-based routing, LLM report generation, and rule-ba
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