Texture Analysis of Fat-Suppressed T2-Weighted Magnetic Resonance Imaging and Use of Machine Learning to Discriminate Nasal and Paranasal Sinus Small Round Malignant Cell Tumors

OBJECTIVE: We used texture analysis and machine learning (ML) to classify small round cell malignant tumors (SRCMTs) and Non-SRCMTs of nasal and paranasal sinus on fat-suppressed T2 weighted imaging (Fs-T2WI). MATERIALS: Preoperative MRI scans of 164 patients from 1 January 2018 to 1 January 2021 di...

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Detalles Bibliográficos
Autores principales: Chen, Chen, Qin, Yuhui, Cheng, Junying, Gao, Fabao, Zhou, Xiaoyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710453/
https://www.ncbi.nlm.nih.gov/pubmed/34966664
http://dx.doi.org/10.3389/fonc.2021.701289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710453/
https://www.ncbi.nlm.nih.gov/pubmed/34966664
http://dx.doi.org/10.3389/fonc.2021.701289

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