Hierarchical classification of anterior cruciate ligament using deep learning for athletes healthcare

This approach offers a robust solution for the automated assessment of ACL injuries, providing clinicians and sports medicine specialists with a reliable tool for more efficient and accurate diagnosis.

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Publication Details

Journal
Bioimpacts
Published
2025-11-04
DOI
https://doi.org/10.34172/bi.31060
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Hierarchical classification of anterior cruciate ligament using deep learning for athletes healthcare

Lei Xiao, Xuejiao Yan
Bioimpacts
Knee injuries and reconstruction techniques
article

Hierarchical classification of anterior cruciate ligament using deep learning for athletes healthcare

Lei Xiao, Xuejiao Yan
article en

Abstract

This approach offers a robust solution for the automated assessment of ACL injuries, providing clinicians and sports medicine specialists with a reliable tool for more efficient and accurate diagnosis.

BioimpactsVol. 15
China Railway Corporation (CN), Chengdu Technological University, Qingdao University of Technology (CN)
Openalex Percentile: Top 46%
Knee injuries and reconstruction techniques
DOIOpen Access PDFOpenAlex
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Hierarchical classification of anterior cruciate ligament using deep learning for athletes healthcare — Lei Xiao, Xuejiao Yan · Bioimpacts (2025) | TGRS Research Map | TGRS