Advanced Medical Image Fusion Using Multi-Layer Adaptive Curvature Filtering And Pulse Coupled Neural Network For Enhanced Diagnostic Accuracy

Pulse Coupled Neural Network (PCNN). The MLACF algorithm splits images into small-scale, large-scale, and background parts while maintaining structural and edge information. The PCNN-based fusion approach then fuses the decomposed elements to improve feature preservation and visual perception. The method is tested based on several image fusion performance measures, such as entropy, structural similarity index (SSIM), Q_AB/F, and feature mutual information (FMI). Experimental results show that the method performs well in preserving key diagnostic details, and its performance outshines that of traditional fusion methods.