A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas.
- DOI
- 10.1016/j.ejca.2024.114326
- Published
- 2024 Nov
- Container
- European journal of cancer (Oxford, England : 1990)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejca.2024.114326,
title = {A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas.},
author = {Monabbati S and Khalighi S and Fu P and Shi Q and Asa SL and Madabhushi A},
year = {2024},
journal = {European journal of cancer (Oxford, England : 1990)},
doi = {10.1016/j.ejca.2024.114326},
url = {https://doi.org/10.1016/j.ejca.2024.114326}
}RIS
TY - JOUR TI - A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas. AU - Monabbati S AU - Khalighi S AU - Fu P AU - Shi Q AU - Asa SL AU - Madabhushi A PY - 2024 JO - European journal of cancer (Oxford, England : 1990) DO - 10.1016/j.ejca.2024.114326 UR - https://doi.org/10.1016/j.ejca.2024.114326 ER -
APA
S, M., S, K., P, F., Q, S., SL, A., & A, M. (2024). A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas.. European journal of cancer (Oxford, England : 1990). https://doi.org/10.1016/j.ejca.2024.114326
Source records
- pubmed · retrieved 2026-09-25T12:08:11.339Z
- europe-pmc · retrieved 2026-09-25T12:08:11.398Z