Prediction of Overall Survival in Cervical Cancer Patients Using PET/CT Radiomic Features

Prediction of Overall Survival in Cervical Cancer Patients Using PET/CT Radiomic Features

Background: Radiomics is a field of research medicine and data science in which quantitative imaging features are extracted from medical images and successively analyzed to develop models for providing diagnostic, prognostic, and predictive information. The purpose of this work was to develop a mach...

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Bibliographic Details
Main Authors: Gianluca Carlini, Nico Curti, Silvia Strolin, Enrico Giampieri, Claudia Sala, Daniele Dall’Olio, Alessandra Merlotti, Stefano Fanti, Daniel Remondini, Cristina Nanni, Lidia Strigari, Gastone Castellani
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
cervical cancer
survival analysis
radiomics
PET
CT
Online Access:https://www.mdpi.com/2076-3417/12/12/5946

Internet

https://www.mdpi.com/2076-3417/12/12/5946

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