Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases

PURPOSE: To assess the performance of random forest (RF)-based radiomics approaches based on 3D computed tomography (CT) and clinical features to predict the types of pelvic and sacral tumors. MATERIALS AND METHODS: A total of 795 patients with pathologically confirmed pelvic and sacral tumors were...

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Detalles Bibliográficos
Autores principales: Yin, Ping, Zhi, Xin, Sun, Chao, Wang, Sicong, Liu, Xia, Chen, Lei, Hong, Nan
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/PMC8459744/
https://www.ncbi.nlm.nih.gov/pubmed/34568036
http://dx.doi.org/10.3389/fonc.2021.709659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459744/
https://www.ncbi.nlm.nih.gov/pubmed/34568036
http://dx.doi.org/10.3389/fonc.2021.709659

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