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...

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Detalles Bibliográficos
Autores principales: Ji, Meng-Yao, Yuan, Lei, Lu, Shi-Min, Gao, Meng-Ting, Zeng, Zhi, Zhan, Na, Ding, Yi-Juan, Liu, Zheng-Ru, Huang, Ping-Xiao, Lu, Cheng, Dong, Wei-Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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

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