Radiomics and machine learning applications in rectal cancer: Current update and future perspectives

The high incidence of rectal cancer in both sexes makes it one of the most common tumors, with significant morbidity and mortality rates. To define the best treatment option and optimize patient outcome, several rectal cancer biological variables must be evaluated. Currently, medical imaging plays a...

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Detalles Bibliográficos
Autores principales: Stanzione, Arnaldo, Verde, Francesco, Romeo, Valeria, Boccadifuoco, Francesca, Mainenti, Pier Paolo, Maurea, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409167/
https://www.ncbi.nlm.nih.gov/pubmed/34539134
http://dx.doi.org/10.3748/wjg.v27.i32.5306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409167/
https://www.ncbi.nlm.nih.gov/pubmed/34539134
http://dx.doi.org/10.3748/wjg.v27.i32.5306

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