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ml-for-health

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ShreyaVijaykumar / 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.

ai computer-vision deep-learning sqlite cnn pytorch medical-imaging pathology explainable-ai model-interpretability edge-ai integrated-gradients medical-ai captum ml-for-health healthcare-ai lightweight-model open-source-ai pathmnist scalable-ai
  • Updated Sep 13, 2025
  • Python

B-Yassine88 / PathMNIST-XAI-Lightweight-Explainable-CNN-for-Medical-Imaging

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🔍 Enhance medical imaging with a lightweight CNN model that offers over 91% accuracy and integrated explainability for better clinical trust.

ai computer-vision deep-learning cnn pytorch medical-imaging pathology explainable-ai model-interpretability edge-ai integrated-gradients captum ml-for-health healthcare-ai lightweight-model open-source-ai pathmnist scalable-ai
  • Updated Oct 23, 2025
  • Python

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