NeuroLIME-EnsemNetX: An explainable deep ensemble intelligence for accurate brain tumor diagnosis and risk-level clinical recommendation

Puntos clave

• Diagnostic accuracy achieved through deep learning and ensemble methods is highly effective.
• The explainable AI framework enhances understanding and trust in machine learning predictions.
• Assessment utilized advanced explainability techniques for better clinical recommendations.
• This work emphasizes the need for integrating explainable intelligence in healthcare processes.