Efficient ML Technique for Brain Tumor Segmentation and Detection

The paper evaluates multiple convolutional neural network pipelines for MRI brain tumor segmentation, highlighting ensemble U-Net models that blend 3D and 2D processing. A comprehensive metric analysis shows significant improvements in diagnostic accuracy, informing personalized treatment planning and AI driven clinical workflows.