🎯 Lumbar Disc Herniation Resorption Prediction System

Intelligent diagnostic assistant tool based on deep learning ensemble model

Model Status: Initializing...
📋 Patient Basic Information
Patient age (years)
🔍 Imaging Scores
Disc degeneration degree (1-5 grades)
Herniation type score (1-5)
Endplate change type (0-3)
Disc signal intensity classification (1-4)
Disc dehydration degree score (0-3)
Spinal canal stenosis degree
🦴 Spinal sagittal parameters
Upper vertebral body posterior height measurement (cm, 0-3.5)
Lower vertebral body posterior height measurement (cm, 0-3.5)
Sacral slope angle measured in degrees (°)
💿 Intervertebral Disc Parameters
Anterior disc height measurement (cm, 0-5)
Posterior disc height measurement (cm, 0-5)
Upper disc depth measurement (cm, >0.01, typically 0.01-10.0)
Lower disc depth measurement (cm, >0.01, typically 0.01-10.0)
🎯 Herniation Parameters
Protrusion grayscale measured by ImageJ (0-260)
CSF grayscale measured by ImageJ (0-260)
Initial protrusion volume (cubic millimeters)
Bull-eye sign classification, positive indicates higher resorption probability

Analyzing, please wait...

🎯 Prediction Result