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PathMNIST-XAI-Lightweight-Explainable-CNN-for-Medical-Imaging

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A lightweight Explainable AI CNN for PathMNIST medical imaging, achieving 91%+ accuracy with Integrated Gradients and SQLite-based attribution storage. Built in PyTorch, this scalable model delivers high performance, transparency, and real-world readiness, making it ideal for medical AI, edge deployment, and explainable deep learning research.

Creat2025-09-13T18:53:19
Update2025-09-14T05:46:34
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