Article
Genetic Algorithm–Neural Network Estimation of Cobb Angle from Torso Asymmetry in Scoliosis
30 Sept 2002
Abstract excerpt
Scoliosis severity, measured by the Cobb angle, was estimated by artificial neural network from indices of torso surface asymmetry using a genetic algorithm to select the optimal set of input torso indices. Estimates of the Cobb angle were accurate within 5 degrees in two-thirds, and within 10 degrees in six-sevenths, of a test set of 115 scans of 48 scoliosis patients, showing promise for future longitudinal...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.