A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture

PURPOSE: We aim to present an unsupervised machine learning application in anterior cruciate ligament (ACL) rupture and evaluate whether supervised machine learning-derived radiomics features enable prediction of ACL rupture accurately. PATIENTS AND METHODS: Sixty-eight patients were reviewed. Their...

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Detalles Bibliográficos
Autores principales: Chen, De-Sheng, Wang, Tong-Fu, Zhu, Jia-Wang, Zhu, Bo, Wang, Zeng-Liang, Cao, Jian-Gang, Feng, Cai-Hong, Zhao, Jun-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236276/
https://www.ncbi.nlm.nih.gov/pubmed/34188576
http://dx.doi.org/10.2147/RMHP.S312330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236276/
https://www.ncbi.nlm.nih.gov/pubmed/34188576
http://dx.doi.org/10.2147/RMHP.S312330

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