Correction: Automated tumor stroma ratio assessment in colorectal cancer using hybrid deep learning approach
- DOI
- 10.1038/s41598-026-40529-z
- Published
- 2026-02-23
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-40529-z,
title = {Correction: Automated tumor stroma ratio assessment in colorectal cancer using hybrid deep learning approach},
author = {Tagne Poupi Theodore Armand and Subrata Bhattacharjee and Kintoh Allen Nfor and Hee-Cheol Kim},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-40529-z},
url = {https://doi.org/10.1038/s41598-026-40529-z}
}RIS
TY - JOUR TI - Correction: Automated tumor stroma ratio assessment in colorectal cancer using hybrid deep learning approach AU - Tagne Poupi Theodore Armand AU - Subrata Bhattacharjee AU - Kintoh Allen Nfor AU - Hee-Cheol Kim PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-40529-z UR - https://doi.org/10.1038/s41598-026-40529-z ER -
APA
Armand, T. P. T., Bhattacharjee, S., Nfor, K. A., & Kim, H. (2026). Correction: Automated tumor stroma ratio assessment in colorectal cancer using hybrid deep learning approach. Scientific Reports. https://doi.org/10.1038/s41598-026-40529-z
Source records
- crossref · retrieved 2026-09-26T12:37:33.616Z