Role of Machine Learning (ML)-Based Classification Using Conventional (18)F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness

SIMPLE SUMMARY: Early and accurate assessment of endometrial cancer (EC) aggressiveness is of utmost importance for correct treatment in affected patients. However, features of EC aggressiveness are currently assessable only after surgery. The aim of the present study was to investigate the role of...

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Detalles Bibliográficos
Autores principales: Bezzi, Carolina, Bergamini, Alice, Mathoux, Gregory, Ghezzo, Samuele, Monaco, Lavinia, Candotti, Giorgio, Fallanca, Federico, Gajate, Ana Maria Samanes, Rabaiotti, Emanuela, Cioffi, Raffaella, Bocciolone, Luca, Gianolli, Luigi, Taccagni, GianLuca, Candiani, Massimo, Mangili, Giorgia, Mapelli, Paola, Picchio, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818853/
https://www.ncbi.nlm.nih.gov/pubmed/36612321
http://dx.doi.org/10.3390/cancers15010325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818853/
https://www.ncbi.nlm.nih.gov/pubmed/36612321
http://dx.doi.org/10.3390/cancers15010325

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