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Automated scoliosis X-ray cobb angle classification: a deep learning approach with RadImageNet.

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Title: Automated scoliosis X-ray cobb angle classification: a deep learning approach with RadImageNet.
Authors: Yu J; Icahn School of Medicine at Mount Sinai, New York, USA. jennifer.yu@icahn.mssm.edu., Lahoti Y; Icahn School of Medicine at Mount Sinai, New York, USA., Ahmed H; Icahn School of Medicine at Mount Sinai, New York, USA., Kurapatti M; Icahn School of Medicine at Mount Sinai, New York, USA., Frost J; Icahn School of Medicine at Mount Sinai, New York, USA., Song J; Icahn School of Medicine at Mount Sinai, New York, USA., Corvi J; Icahn School of Medicine at Mount Sinai, New York, USA., Namiri N; Icahn School of Medicine at Mount Sinai, New York, USA., Issa T; Icahn School of Medicine at Mount Sinai, New York, USA., Cho S; Icahn School of Medicine at Mount Sinai, New York, USA., Kim J; Icahn School of Medicine at Mount Sinai, New York, USA.
Source: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Jul 09. Date of Electronic Publication: 2026 Jul 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Yu+J%22">Yu J</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA. jennifer.yu@icahn.mssm.edu.<br /><searchLink fieldCode="AU" term="%22Lahoti+Y%22">Lahoti Y</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Ahmed+H%22">Ahmed H</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kurapatti+M%22">Kurapatti M</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Frost+J%22">Frost J</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Song+J%22">Song J</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Corvi+J%22">Corvi J</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Namiri+N%22">Namiri N</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Issa+T%22">Issa T</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Cho+S%22">Cho S</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Icahn School of Medicine at Mount Sinai, New York, USA.
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        Value: 10.1007/s00586-026-10181-2
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      – Code: eng
        Text: English
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      – TitleFull: Automated scoliosis X-ray cobb angle classification: a deep learning approach with RadImageNet.
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            – D: 09
              M: 07
              Text: 2026 Jul 09
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              Y: 2026
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