Deep Learning Based Image Segmentation for Diagnosis of Spondylolisthesis from Lumbar Spine X-RAY

Abstract: Spondylolisthesis is a condition of Spine which occurs due to slippage of vertebrae. which can causepain and resultsin limited mobility and nerve compression. Accurate detection in early stages important for prevention of further complications. Traditional methos heavily depends on human examination of X-ray images, which can cause manual errors. To improve the detection of spondylolisthesis in X-ray images we used deep learning techniques. YOLO (you only look once) is known for itsreal time processing capability and high precision, works faster, detects and segments in one step based on percentage of vertebral slippage, and gives more accurate results. We compared the results obtained by YOLOV8 and YOLOV11. This study supports the use of deep learning techniques to assist medical professionals in making more accurate assessments.