Copyright
©The Author(s) 2025.
World J Gastrointest Oncol. May 15, 2025; 17(5): 103667
Published online May 15, 2025. doi: 10.4251/wjgo.v17.i5.103667
Published online May 15, 2025. doi: 10.4251/wjgo.v17.i5.103667
Table 7 Top ten high-frequency keywords
Rank | Keywords | Counts |
1 | Deep learning | 354 |
2 | Colorectal-cancer | 297 |
3 | Colorectal cancer | 293 |
4 | Cancer | 172 |
5 | Classification | 147 |
6 | Artificial intelligence | 144 |
7 | Colonoscopy | 136 |
8 | Survival | 121 |
9 | Risk | 106 |
10 | Diagnosis | 98 |
- Citation: Qi LY, Li BW, Chen JQ, Bian HP, Xue JN, Zhao HX. Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization. World J Gastrointest Oncol 2025; 17(5): 103667
- URL: https://www.wjgnet.com/1948-5204/full/v17/i5/103667.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v17.i5.103667