A computer vision approach to identifying the manufacturer of posterior thoracolumbar instrumentation systems.

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Title: A computer vision approach to identifying the manufacturer of posterior thoracolumbar instrumentation systems.
Authors: Anand A; 1Department of Neurosurgery, Baylor College of Medicine, Houston., Flores AR; 1Department of Neurosurgery, Baylor College of Medicine, Houston., McDonald MF; 1Department of Neurosurgery, Baylor College of Medicine, Houston.; 2Medical Scientist Training Program, Baylor College of Medicine, Houston, Texas; and., Gadot R; 1Department of Neurosurgery, Baylor College of Medicine, Houston., Xu DS; 3Department of Neurosurgery, The Ohio State University School of Medicine, Columbus, Ohio., Ropper AE; 1Department of Neurosurgery, Baylor College of Medicine, Houston.
Source: Journal of neurosurgery. Spine [J Neurosurg Spine] 2022 Dec 27; Vol. 38 (4), pp. 417-424. Date of Electronic Publication: 2022 Dec 27 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: American Association of Neurological Surgeons Country of Publication: United States NLM ID: 101223545 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1547-5646 (Electronic) Linking ISSN: 15475646 NLM ISO Abbreviation: J Neurosurg Spine Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: A computer vision approach to identifying the manufacturer of posterior thoracolumbar instrumentation systems.
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  Data: <searchLink fieldCode="AU" term="%22Anand+A%22">Anand A</searchLink>; 1Department of Neurosurgery, Baylor College of Medicine, Houston.<br /><searchLink fieldCode="AU" term="%22Flores+AR%22">Flores AR</searchLink>; 1Department of Neurosurgery, Baylor College of Medicine, Houston.<br /><searchLink fieldCode="AU" term="%22McDonald+MF%22">McDonald MF</searchLink>; 1Department of Neurosurgery, Baylor College of Medicine, Houston.; 2Medical Scientist Training Program, Baylor College of Medicine, Houston, Texas; and.<br /><searchLink fieldCode="AU" term="%22Gadot+R%22">Gadot R</searchLink>; 1Department of Neurosurgery, Baylor College of Medicine, Houston.<br /><searchLink fieldCode="AU" term="%22Xu+DS%22">Xu DS</searchLink>; 3Department of Neurosurgery, The Ohio State University School of Medicine, Columbus, Ohio.<br /><searchLink fieldCode="AU" term="%22Ropper+AE%22">Ropper AE</searchLink>; 1Department of Neurosurgery, Baylor College of Medicine, Houston.
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  Data: <searchLink fieldCode="JN" term="%22101223545%22">Journal of neurosurgery. Spine</searchLink> [J Neurosurg Spine] 2022 Dec 27; Vol. 38 (4), pp. 417-424. <i>Date of Electronic Publication: </i>2022 Dec 27 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Association+of+Neurological+Surgeons%22">American Association of Neurological Surgeons </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101223545 <i>Publication Model: </i>Electronic-Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1547-5646 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215475646%22">15475646 </searchLink><i>NLM ISO Abbreviation: </i>J Neurosurg Spine <i>Subsets: </i>MEDLINE
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        Value: 10.3171/2022.11.SPINE221009
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      – Code: eng
        Text: English
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        StartPage: 417
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      – TitleFull: A computer vision approach to identifying the manufacturer of posterior thoracolumbar instrumentation systems.
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            NameFull: Flores AR
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            – D: 27
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              Text: 2022 Dec 27
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