Empowering Brain Tumor Diagnosis through Explainable Deep Learning

Brain tumors are among the most lethal diseases, and early detection is crucial for improving patient outcomes. Currently, magnetic resonance imaging (MRI) is the most effective method for early brain tumor detection due to its superior imaging quality for soft tissues. However, manual analysis of b...

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Veröffentlicht in:	Machine learning and knowledge extraction 2024-12, Vol.6 (4), p.2248-2281
Hauptverfasser:	Li, Zhengkun, Dib, Omar
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy AI in health Algorithms Brain Brain cancer Brain research brain tumor classification Brain tumors CAD Classification Comparative analysis Computational linguistics Computer aided design Computer vision Data augmentation Datasets Decision making Deep learning Detectors Diagnosis Diagnostic imaging explainable AI Glioma Language processing Machine vision Magnetic resonance imaging medical diagnosis Medical imaging Medical imaging equipment Methods Natural language interfaces Neural networks Optimization Soft tissues System reliability Tumors
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