CristianoPatricio/Explainable-Deep-Learning-Methods-in-Medical-Image-Classification-A-Survey

Official repository of the paper "Explainable Deep Learning Methods in Medical Image Classification: A Survey", ACM Computing Surveys (CSUR), 2023.

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This project compiles a comprehensive survey of explainable deep learning methods applied to medical image classification. It provides a structured overview of various techniques for understanding how AI models make diagnostic decisions from medical images, along with an interactive table to explore relevant research. This resource is for medical researchers, clinical decision-makers, and machine learning practitioners who need to interpret AI predictions in healthcare.

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Use this if you need to understand the current landscape of methods for making AI predictions in medical imaging transparent and interpretable for clinical use.

Not ideal if you are looking for ready-to-use software or code implementations of specific XAI methods rather than a research overview.

medical imaging clinical decision support AI interpretability diagnostic imaging deep learning in medicine
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Jan 09, 2024

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