MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors

OBJECTIVE: To explore the best MRI radiomics-based machine learning model for differentiation of sinonasal inverted papilloma (SNIP) and malignant sinonasal tumor (MST), and investigate whether the combination of radiomics features and clinic–radiological features can produce a superior diagnostic p...

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Detalles Bibliográficos
Autores principales: Gu, Jinming, Yu, Qiang, Li, Quanjiang, Peng, Juan, Lv, Fajin, Gong, Beibei, Zhang, Xiaodi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538572/
https://www.ncbi.nlm.nih.gov/pubmed/36212455
http://dx.doi.org/10.3389/fonc.2022.1003639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538572/
https://www.ncbi.nlm.nih.gov/pubmed/36212455
http://dx.doi.org/10.3389/fonc.2022.1003639

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