Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.
- DOI
- 10.1038/s41598-020-72475-9
- Published
- 2020 Oct 20
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-020-72475-9,
title = {Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.},
author = {Veeraraghavan H and Friedman CF and DeLair DF and Ninčević J and Himoto Y and Bruni SG and Cappello G and Petkovska I and Nougaret S and Nikolovski I and Zehir A and Abu-Rustum NR and Aghajanian C and Zamarin D and Cadoo KA and Diaz LA Jr and Leitao MM Jr and Makker V and Soslow RA and Mueller JJ and Weigelt B and Lakhman Y},
year = {2020},
journal = {Scientific reports},
doi = {10.1038/s41598-020-72475-9},
url = {https://doi.org/10.1038/s41598-020-72475-9}
}RIS
TY - JOUR TI - Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers. AU - Veeraraghavan H AU - Friedman CF AU - DeLair DF AU - Ninčević J AU - Himoto Y AU - Bruni SG AU - Cappello G AU - Petkovska I AU - Nougaret S AU - Nikolovski I AU - Zehir A AU - Abu-Rustum NR AU - Aghajanian C AU - Zamarin D AU - Cadoo KA AU - Diaz LA Jr AU - Leitao MM Jr AU - Makker V AU - Soslow RA AU - Mueller JJ AU - Weigelt B AU - Lakhman Y PY - 2020 JO - Scientific reports DO - 10.1038/s41598-020-72475-9 UR - https://doi.org/10.1038/s41598-020-72475-9 ER -
APA
H, V., CF, F., DF, D., J, N., Y, H., SG, B., G, C., I, P., S, N., I, N., A, Z., NR, A., C, A., D, Z., KA, C., Jr, D. L., Jr, L. M., V, M., RA, S., JJ, M., B, W., & Y, L. (2020). Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.. Scientific reports. https://doi.org/10.1038/s41598-020-72475-9
Source records
- pubmed · retrieved 2026-09-25T15:00:30.530Z