SOM-Based Brain Image Segmentation with Tumor Detection and Color Labeling

This implementation provides brain image segmentation using Self-Organizing Maps (SOM) neural networks, featuring tumor region identification and color-coded label visualization. The code processes both T1 and T2 weighted MRI images, automatically detects pathological regions, and generates segmented outputs with distinct color labels for different tissue types. Key functionalities include SOM clustering initialization, feature vector extraction from image pixels, and label-to-color mapping algorithms.