Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values

OBJECTIVE: We used radiomics feature–based machine learning classifiers of apparent diffusion coefficient (ADC) maps to differentiate small round cell malignant tumors (SRCMTs) and non-SRCMTs of the nasal and paranasal sinuses. MATERIALS: A total of 267 features were extracted from each region of in...

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Detalles Bibliográficos
Autores principales: Chen, Chen, Qin, Yuhui, Chen, Haotian, Cheng, Junying, He, Bo, Wan, Yixuan, Zhu, Dongyong, Gao, Fabao, Zhou, Xiaoyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Magnetic Resonance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123077/
https://www.ncbi.nlm.nih.gov/pubmed/35029732
http://dx.doi.org/10.1007/s00330-021-08465-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123077/
https://www.ncbi.nlm.nih.gov/pubmed/35029732
http://dx.doi.org/10.1007/s00330-021-08465-w

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