Quantitative PET Imaging and Clinical Parameters as Predictive Factors for Patients With Cervical Carcinoma: Implications of a Prediction Model Generated Using Multi-Objective Support Vector Machine Learning

PURPOSE: Quantitative features from pre-treatment positron emission tomography (PET) have been used to predict treatment outcomes for patients with cervical carcinoma. The purpose of this study is to use quantitative PET imaging features and clinical parameters to construct a multi-objective machine...

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Detalles Bibliográficos
Autores principales: Zhou, Zhiguo, Maquilan, Genevieve M., Thomas, Kimberly, Wachsmann, Jason, Wang, Jing, Folkert, Michael R., Albuquerque, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768874/
https://www.ncbi.nlm.nih.gov/pubmed/33357081
http://dx.doi.org/10.1177/1533033820983804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768874/
https://www.ncbi.nlm.nih.gov/pubmed/33357081
http://dx.doi.org/10.1177/1533033820983804

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