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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters
4
Zitationen
11
Autoren
2025
Jahr
Abstract
This study proposed the VM-TE-UNet for fracture areas segmentation, extracted micro-CT indices, and established an early diagnostic model for fracture non-union. We believe that the prediction model can effectively screen out samples of poor fracture rehabilitation caused by blood supply limitations in rats 14 days after fracture, rather than the widely accepted 35 or 40 days. This provides important reference for the clinical prediction of fracture non-union and early intervention treatment.
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