<p class="jove_content">This review examines perturbation- and backpropagation-based explainable artificial intelligence methods for medical imaging, comparing their principles, strengths, limitations, and clinical applications, and highlighting current challenges and future directions to improve interpretability and trust in AI-assisted healthcare.</p>

towards-explainable-artificial-intelligence-medical-imaging-review

Towards Explainable Artificial Intelligence in Medical Imaging: A Review of Perturbation and Backpropagation-Based Methods

Machine and deep learning algorithms have been proven their efficiency in the medical domain. This is particularly noticeable in medical imaging, where ...

Institution - University of Gabes

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