Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
- DOI
- 10.1038/s41598-024-81188-2
- Published
- 2024-12-30
- 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/s41598-024-81188-2,
title = {Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma},
author = {Laurens S. Ter Maat and Rob A. J. De Mooij and Isabella A. J. Van Duin and Joost J. C. Verhoeff and Sjoerd G. Elias and Tim Leiner and Wouter A. C. van Amsterdam and Max F. Troenokarso and Eran R. A. N. Arntz and Franchette W. P. J. Van den Berkmortel and Marye J. Boers-Sonderen and Martijn F. Boomsma and Fons J. M. Van den Eertwegh and Jan Willem de Groot and Geke A. P. Hospers and Djura Piersma and Art Vreugdenhil and Hans M. Westgeest and Ellen Kapiteijn and Ardine A. De Wit and Willeke A. M. Blokx and Paul J. Van Diest and Pim A. De Jong and Josien P. W. Pluim and Karijn P. M. Suijkerbuijk and Mitko Veta},
year = {2024},
journal = {Scientific Reports},
doi = {10.1038/s41598-024-81188-2},
url = {https://doi.org/10.1038/s41598-024-81188-2}
}RIS
TY - JOUR TI - Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma AU - Laurens S. Ter Maat AU - Rob A. J. De Mooij AU - Isabella A. J. Van Duin AU - Joost J. C. Verhoeff AU - Sjoerd G. Elias AU - Tim Leiner AU - Wouter A. C. van Amsterdam AU - Max F. Troenokarso AU - Eran R. A. N. Arntz AU - Franchette W. P. J. Van den Berkmortel AU - Marye J. Boers-Sonderen AU - Martijn F. Boomsma AU - Fons J. M. Van den Eertwegh AU - Jan Willem de Groot AU - Geke A. P. Hospers AU - Djura Piersma AU - Art Vreugdenhil AU - Hans M. Westgeest AU - Ellen Kapiteijn AU - Ardine A. De Wit AU - Willeke A. M. Blokx AU - Paul J. Van Diest AU - Pim A. De Jong AU - Josien P. W. Pluim AU - Karijn P. M. Suijkerbuijk AU - Mitko Veta PY - 2024 JO - Scientific Reports DO - 10.1038/s41598-024-81188-2 UR - https://doi.org/10.1038/s41598-024-81188-2 ER -
APA
Maat, L. S. T., Mooij, R. A. J. D., Duin, I. A. J. V., Verhoeff, J. J. C., Elias, S. G., Leiner, T., Amsterdam, W. A. C. V., Troenokarso, M. F., Arntz, E. R. A. N., Berkmortel, F. W. P. J. V. D., Boers-Sonderen, M. J., Boomsma, M. F., Eertwegh, F. J. M. V. D., Groot, J. W. D., Hospers, G. A. P., Piersma, D., Vreugdenhil, A., Westgeest, H. M., Kapiteijn, E., Wit, A. A. D., Blokx, W. A. M., Diest, P. J. V., Jong, P. A. D., Pluim, J. P. W., Suijkerbuijk, K. P. M., & Veta, M. (2024). Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma. Scientific Reports. https://doi.org/10.1038/s41598-024-81188-2
Source records
- crossref · retrieved 2026-09-25T11:29:35.143Z