| Title | Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Ji, M-Y, Yuan L, Lu S-M, Gao M-T, Zeng Z, Zhan N, Ding Y-J, Liu Z-R, Huang P-X, Lu C, Dong W-G |
| Journal | Journal of translational medicine |
| Volume | 18 |
| Issue | 1 |
| Pagination | 129 |
| Date Published | 2020 03 16 |
| ISSN | 1479-5876 |
| Abstract | 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 cancer in ECA via H&E images digitally. |
| DOI | 10.1186/s12967-020-02297-w |
| PDF Link | |
| Alternate Journal | J Transl Med |
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