Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system
- DOI
- 10.1016/j.xcrm.2024.101536
- Published
- 2024-05
- Container
- Cell Reports Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.xcrm.2024.101536,
title = {Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system},
author = {Ruitian Gao and Xin Yuan and Yanran Ma and Ting Wei and Luke Johnston and Yanfei Shao and Wenwen Lv and Tengteng Zhu and Yue Zhang and Junke Zheng and Guoqiang Chen and Jing Sun and Yu Guang Wang and Zhangsheng Yu},
year = {2024},
journal = {Cell Reports Medicine},
doi = {10.1016/j.xcrm.2024.101536},
url = {https://doi.org/10.1016/j.xcrm.2024.101536}
}RIS
TY - JOUR TI - Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system AU - Ruitian Gao AU - Xin Yuan AU - Yanran Ma AU - Ting Wei AU - Luke Johnston AU - Yanfei Shao AU - Wenwen Lv AU - Tengteng Zhu AU - Yue Zhang AU - Junke Zheng AU - Guoqiang Chen AU - Jing Sun AU - Yu Guang Wang AU - Zhangsheng Yu PY - 2024 JO - Cell Reports Medicine DO - 10.1016/j.xcrm.2024.101536 UR - https://doi.org/10.1016/j.xcrm.2024.101536 ER -
APA
Gao, R., Yuan, X., Ma, Y., Wei, T., Johnston, L., Shao, Y., Lv, W., Zhu, T., Zhang, Y., Zheng, J., Chen, G., Sun, J., Wang, Y. G., & Yu, Z. (2024). Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system. Cell Reports Medicine. https://doi.org/10.1016/j.xcrm.2024.101536
Source records
- crossref · retrieved 2026-09-26T09:43:45.009Z