Comparative analysis of image enhancement techniques for braintumor segmentation: contrast, histogram, and hybrid approaches
This study systematically investigates the impact of image enhancement techniques on Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and their hybrid variations.Employing the U-Net architecture on a dataset Tapestry Woven Blanket of