Deep learning automates Cobb angle measurement compared with multi-expert observers

arXiv:2403.12115v1 Announce Type: cross
Abstract: Scoliosis, a prevalent condition characterized by abnormal spinal curvature leading to deformity, requires precise assessment methods for effective diagnosis and management. The Cobb angle is a widely used scoliosis quantification method that measures the degree of curvature between the tilted vertebrae. Yet, manual measuring of Cobb angles is time-consuming and labor-intensive, fraught with significant interobserver and intraobserver variability. To address these challenges and the lack of interpretability found in certain existing automated methods, we have …

abstract arxiv assessment cs.cv cs.lg deep learning diagnosis eess.iv expert management measurement measuring quantification type