AI RESEARCH
VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images
arXiv CS.CV
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ArXi:2502.02097v3 Announce Type: replace This aims to develop and validate a deep learning model that can accurately locate vertebral landmarks in lateral spine Dual energy X-ray Absorptiometry (DXA) scans. Accurate vertebral landmark localization is critical for reliable fracture assessment and scoring of abdominal aortic calcification using the Kauppila 24-point method; however, DXA lateral spine images are low-contrast, artifact-prone, and manufacturer-dependent, while manual annotation is time-consuming and reader-dependent.