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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Baishideng Publishing Group Inc
2021
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| Materias: | |
| 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 |