Application of deep learning upon spinal radiographs to predict progression in adolescent idiopathic scoliosis at first clinic visit
Background: Prediction of curve progression risk in adolescent idiopathic scoliosis (AIS) remains elusive. Prior studies have revealed the potential for three-dimensional (3D) morphological parameters to prognosticate progression, but these require specialized biplanar imaging equipment and labor-in...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/05560692eab0409ca7a6a2c547cac91d |
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