Development and Validation of a Deep Learning Predictive Model Combining Clinical and Radiomic Features for Short-Term Postoperative Facial Nerve Function in Acoustic Neuroma Patients

OBJECTIVE: This study aims to construct and validate a predictable deep learning model associated with clinical data and multi-sequence magnetic resonance imaging (MRI) for short-term postoperative facial nerve function in patients with acoustic neuroma. METHODS: A total of 110 patients with acousti...

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Detalles Bibliográficos
Autores principales: Wang, Meng-yang, Jia, Chen-guang, Xu, Huan-qing, Xu, Cheng-shi, Li, Xiang, Wei, Wei, Chen, Jin-cao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Huazhong University of Science and Technology 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103675/
https://www.ncbi.nlm.nih.gov/pubmed/37059936
http://dx.doi.org/10.1007/s11596-023-2713-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103675/
https://www.ncbi.nlm.nih.gov/pubmed/37059936
http://dx.doi.org/10.1007/s11596-023-2713-x

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