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Deep Learning-Based Projection Angle Estimation for Lumbar Oblique Radiography: A Two-Stage Object Detection Approach Using Vertebral–Pedicle Ratio Analysis.

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Title: Deep Learning-Based Projection Angle Estimation for Lumbar Oblique Radiography: A Two-Stage Object Detection Approach Using Vertebral–Pedicle Ratio Analysis.
Authors: Yamamoto, Riria1, Tsutsumi, Kaori2, Yoshimura, Takaaki3,4,5, Sugimori, Hiroyuki2,3,4, sugimori@hs.hokudai.ac.jp
Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p2800, 15p
Database: Applied Science & Technology Source
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  Data: Deep Learning-Based Projection Angle Estimation for Lumbar Oblique Radiography: A Two-Stage Object Detection Approach Using Vertebral–Pedicle Ratio Analysis.
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        Value: 10.3390/app16062800
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      – Code: eng
        Text: English
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      – TitleFull: Deep Learning-Based Projection Angle Estimation for Lumbar Oblique Radiography: A Two-Stage Object Detection Approach Using Vertebral–Pedicle Ratio Analysis.
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            NameFull: Yamamoto, Riria
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            NameFull: Tsutsumi, Kaori
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            NameFull: Yoshimura, Takaaki
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              Text: Mar2026
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              Y: 2026
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