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Correct evaluation and treatment of Scoliosis require accurate estimation ofspinal curvature. Current gold standard is to manually estimate Cobb Angles inspinal X-ray images which is time consuming and has high inter-ratervariability. We propose an automatic method with a novel framework that firstdetects vertebrae as objects followed by a landmark detector that estimates the4 landmark corners of each vertebra separately. Cobb Angles are calculatedusing the slope of each vertebra obtained from the predicted landmarks. Forinference on test data, we perform pre and post processings that includecropping, outlier rejection and smoothing of the predicted landmarks. Theresults were assessed in AASCE MICCAI challenge 2019 which showed a promisewith a SMAPE score of 25.69 on the challenge test set.

Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression