Development of Local Software for Automatic Measurement of Geometric Parameters in the Proximal Femur Using a Combination of a Deep Learning Approach and an Active Shape Model on X-ray Images.

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Title: Development of Local Software for Automatic Measurement of Geometric Parameters in the Proximal Femur Using a Combination of a Deep Learning Approach and an Active Shape Model on X-ray Images.
Authors: Alavi, Hamid1, Seifi, Mehdi1, Rouhollahei, Mahboubeh2,3, Rafati, Mehravar4, afshin_rft@yahoo.com, Arabfard, Masoud3, arabfard@bmsu.ac.ir
Source: Journal of Digital Imaging; Apr2024, Vol. 37 Issue 2, p633-652, 20p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: Development of Local Software for Automatic Measurement of Geometric Parameters in the Proximal Femur Using a Combination of a Deep Learning Approach and an Active Shape Model on X-ray Images.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>; Apr2024, Vol. 37 Issue 2, p633-652, 20p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177626003
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        Value: 10.1007/s10278-023-00953-3
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 633
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      – TitleFull: Development of Local Software for Automatic Measurement of Geometric Parameters in the Proximal Femur Using a Combination of a Deep Learning Approach and an Active Shape Model on X-ray Images.
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            NameFull: Alavi, Hamid
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            NameFull: Seifi, Mehdi
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            NameFull: Rouhollahei, Mahboubeh
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            NameFull: Rafati, Mehravar
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            NameFull: Arabfard, Masoud
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            – D: 01
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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