Tumor-area mitosis proportion as an image-derived mitotic phenotype in lung squamous cell carcinoma: Patient-level prognostic and multi-omics evaluation
- DOI
- 10.1016/j.jpi.2026.100750
- Published
- 2026-11
- Container
- Journal of Pathology Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jpi.2026.100750,
title = {Tumor-area mitosis proportion as an image-derived mitotic phenotype in lung squamous cell carcinoma: Patient-level prognostic and multi-omics evaluation},
author = {Gulcin Yilmaz Gunes and Mehmet Akif Cifci},
year = {2026},
journal = {Journal of Pathology Informatics},
doi = {10.1016/j.jpi.2026.100750},
url = {https://doi.org/10.1016/j.jpi.2026.100750}
}RIS
TY - JOUR TI - Tumor-area mitosis proportion as an image-derived mitotic phenotype in lung squamous cell carcinoma: Patient-level prognostic and multi-omics evaluation AU - Gulcin Yilmaz Gunes AU - Mehmet Akif Cifci PY - 2026 JO - Journal of Pathology Informatics DO - 10.1016/j.jpi.2026.100750 UR - https://doi.org/10.1016/j.jpi.2026.100750 ER -
APA
Gunes, G. Y., & Cifci, M. A. (2026). Tumor-area mitosis proportion as an image-derived mitotic phenotype in lung squamous cell carcinoma: Patient-level prognostic and multi-omics evaluation. Journal of Pathology Informatics. https://doi.org/10.1016/j.jpi.2026.100750
Source records
- crossref · retrieved 2026-11-08T00:09:36.814Z