Aug. 11, 2023, 6:50 a.m. | Yuanhan Mo, Yao Chen, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartłomiej W. Papież

cs.CV updates on arXiv.org arxiv.org

Manually grading structural changes with the modified Stoke Ankylosing
Spondylitis Spinal Score (mSASSS) on spinal X-ray imaging is costly and
time-consuming due to bone shape complexity and image quality variations. In
this study, we address this challenge by prototyping a 2-step auto-grading
pipeline, called VertXGradeNet, to automatically predict mSASSS scores for the
cervical and lumbar vertebral units (VUs) in X-ray spinal imaging. The
VertXGradeNet utilizes VUs generated by our previously developed VU extraction
pipeline (VertXNet) as input and predicts mSASSS …

arxiv auto challenge complexity image imaging pipeline prototyping quality ray scoring study x-ray

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne