Hybrid CNN + LSTM + SVM model for advanced brain tumor classification

Key Points

• The hybrid model shows improved accuracy in brain tumor classification compared to traditional methods.
• An accuracy increase of 12% was reported using the hybrid CNN, LSTM, and SVM model.
• This analysis utilizes advanced algorithms including simulated convolutional neural networks and support vector machines.
• Findings highlight the potential of combining different algorithmic approaches for better tumor classification.