Deep Learning-based Detection of Hip Anatomical Landmarks in X-ray Images
A two-stage deep learning model designed for the detection of landmarks in hip X-ray images, aiming to improve the accuracy of deformity quantification, demonstrated a brief learning time due to the small image size loaded in both steps, while also offering high precision through the use of a bounding box.