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Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.

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Title: Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.
Authors: Kabir, Mohammad Humayun1, Reformat, Marek1, Hryniuk, Sarah Southon2, Stampe, Kyle1,2, Lou, Edmond1, elou@ualberta.ca
Source: Medical & Biological Engineering & Computing; Jan2025, Vol. 63 Issue 1, p101-110, 10p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Jan2025, Vol. 63 Issue 1, p101-110, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182077533
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        Value: 10.1007/s11517-024-03181-1
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        Text: English
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              Text: Jan2025
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