Enhancing Lumbar Spine MRI Segmentation with Advanced Deep Learning and Targeted Data Preprocessing

This study presents an advanced approach to accurately segment lumbar spine structures, including vertebrae, spinal canal, and intervertebral discs, in MRI scans using deep learning techniques. The key innovations include a robust data preprocessing pipeline, a modified U-Net model with architectural enhancements, and a custom combined loss function to effectively handle class imbalance.