Development and validation of a keypoint region-based convolutional neural network to automate thoracic Cobb angle measurements using whole-spine standing radiographs.
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| Title: | Development and validation of a keypoint region-based convolutional neural network to automate thoracic Cobb angle measurements using whole-spine standing radiographs. |
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| Authors: | Dagli MM; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. marcel.dagli@pennmedicine.upenn.edu., Sussman JH; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Gujral J; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Budihal BR; Department of General Medicine, BGS Global Institute of Medical Sciences, Bengaluru, India., Kerr M; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Yoon JW; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Ozturk AK; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Cahill PJ; Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Anari J; Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Winkelstein BA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA., Welch WC; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. |
| Source: | Acta neurochirurgica [Acta Neurochir (Wien)] 2025 Aug 23; Vol. 167 (1), pp. 227. Date of Electronic Publication: 2025 Aug 23. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Springer Country of Publication: Austria NLM ID: 0151000 Publication Model: Electronic Cited Medium: Internet ISSN: 0942-0940 (Electronic) Linking ISSN: 00016268 NLM ISO Abbreviation: Acta Neurochir (Wien) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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