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A Trustworthy Clinical Decision Support Framework for Brain Tumor MRI Classification: Integrating Attention-Guided Learning, Explainable AI, and Out-of-Distribution Validation
Deep learning models for brain tumor diagnosis need to do more than achieve high classification accuracy. For practical use, they should also provide understandable predictions, recognize unsuitable inputs, and work within a usable clinical system. This paper presents a framework for classifying bra
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