Automated Lumbar Intervertebral Disc Detection and Classification System Based on a Hybrid Deep Learning Framework
This study proposes a hybrid deep learning framework that integrates object detection and classification models to achieve a fully automated assessment of intervertebral disc health. The system first employs the YOLOv7 model to accurately locate intervertebral discs within DICOM images, extracting regions of interest (ROIs) while preserving anatomical features and eliminating irrelevant tissue interference. To…
