Fig. 2From: Landet: an efficient physics-informed deep learning approach for automatic detection of anatomical landmarks and measurement of spinopelvic alignmentA Manual labeling of landmarks and specifying bounding boxes. B Extracted landmarks as objects with different confidences, trained model output, evaluated with the test set. C choosing the highest confidence for each landmark as the prediction results and calculation of the spinopelvic measuresBack to article page