Hur U-Net hyperparametrar och datakvalitet påverkar minskning av bildstörningar i magnetresonanstomografi
Medical imaging plays a vital role in modern diagnostics, enabling accurate disease detection and treatment planning. In recent years, deep learning-especially using convolutional neural networks (CNNs) has revolutionized medical image segmentation. One prominent CNN architecture is U-net, developed specifically for biomedical image segmentation. Its structure with symmetric encoder-decoder layers
