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Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study
BACKGROUND: Identifying the early-stage colon adenocarcinoma (ECA) patients who have lower risk cancer vs. the higher risk cancer could improve disease prognosis. Our study aimed to explore whether the glandular morphological features determined by computational pathology could identify high risk ca...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077008/ https://www.ncbi.nlm.nih.gov/pubmed/32178690 http://dx.doi.org/10.1186/s12967-020-02297-w |