Enhancing prediction of supraspinatus/infraspinatus tendon complex injuries through integration of deep visual features and clinical information: a multicenter two-round assessment study

OBJECTIVE: Develop and evaluate an ensemble clinical machine learning–deep learning (CML-DL) model integrating deep visual features and clinical data to improve the prediction of supraspinatus/infraspinatus tendon complex (SITC) injuries. METHODS: Patients with suspected SITC injuries were retrospec...

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Detalles Bibliográficos
Autores principales: Alike, Yamuhanmode, Li, Cheng, Hou, Jingyi, Long, Yi, Zhang, Jinming, Zhou, Chuanhai, Zhang, Zongda, Zhu, Qi, Li, Tao, Cao, Shinan, Zhang, Yuanhao, Wang, Dan, Cheng, Shuangqin, Yang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667163/
https://www.ncbi.nlm.nih.gov/pubmed/37994940
http://dx.doi.org/10.1186/s13244-023-01551-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667163/
https://www.ncbi.nlm.nih.gov/pubmed/37994940
http://dx.doi.org/10.1186/s13244-023-01551-1

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