  Correct evaluation and treatment of Scoliosis require accurate estimation of
spinal curvature. Current gold standard is to manually estimate Cobb Angles in
spinal X-ray images which is time consuming and has high inter-rater
variability. We propose an automatic method with a novel framework that first
detects vertebrae as objects followed by a landmark detector that estimates the
4 landmark corners of each vertebra separately. Cobb Angles are calculated
using the slope of each vertebra obtained from the predicted landmarks. For
inference on test data, we perform pre and post processings that include
cropping, outlier rejection and smoothing of the predicted landmarks. The
results were assessed in AASCE MICCAI challenge 2019 which showed a promise
with a SMAPE score of 25.69 on the challenge test set.
