Faster R-CNN model for target recognition and diagnosis of scapular fractures

The CNN-based recognition model for scapular fractures can assist clinicians in improving their diagnostic accuracy and precision in identifying such fractures on CT images.

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Publication Details

Journal
Journal of bone oncology
Published
2025-02-20
DOI
https://doi.org/10.1016/j.jbo.2025.100664
Citations
2
Primary Topic
Shoulder and Clavicle Injuries
Type
article
Field-Weighted Citation Impact
2.71
Controls
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article

Faster R-CNN model for target recognition and diagnosis of scapular fractures

Qiong Fang, Anhong Jiang, Meimei Liu, Sen Zhao
2 citations
Journal of bone oncology
Shoulder and Clavicle Injuries
2.71
article

Faster R-CNN model for target recognition and diagnosis of scapular fractures

Qiong Fang, Anhong Jiang, Meimei Liu, Sen Zhao
article en
2 citations

Abstract

The CNN-based recognition model for scapular fractures can assist clinicians in improving their diagnostic accuracy and precision in identifying such fractures on CT images.

Journal of bone oncologyVol. 51
Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN)
Openalex Percentile: Top 12%
Shoulder and Clavicle Injuries
2.71
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