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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主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-06-01
シリーズ:	Applied Sciences
主題:	cervical cancer survival analysis radiomics PET CT
オンライン･アクセス:	https://www.mdpi.com/2076-3417/12/12/5946
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