Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.
- DOI
- 10.1016/s1470-2045(26)00339-6
- Published
- 2026 Sep
- Container
- The Lancet. Oncology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/s1470-2045-26-00339-6,
title = {Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.},
author = {Dixon-Douglas JR and Drubay D and Salgado R and Acs B and van der Laak J and Yuan Y and Amgad M and Cooper L and Hagos Y and AbdulJabbar K and Meakin J and van Ginneken B and Yan H and Lemonnier J and Penault-Llorca F and Lacroix-Triki M and Joensuu H and Kellokumpu-Lehtinen PL and Loibl S and Denkert C and Viale G and Colleoni MA and Sotiriou C and Piccart M and Dieci MV and Demaria S and Kammler R and Wolff AC and Sparano JA and Adams S and Badve S and Gray RJ and Curigliano G and Salomon AV and Nielsen TO and Pusztai L and Ciompi F and Michiels S and Loi S and International Immuno-Oncology Biomarker Working Group},
year = {2026},
journal = {The Lancet. Oncology},
doi = {10.1016/s1470-2045(26)00339-6},
url = {https://doi.org/10.1016/s1470-2045(26)00339-6}
}RIS
TY - JOUR TI - Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study. AU - Dixon-Douglas JR AU - Drubay D AU - Salgado R AU - Acs B AU - van der Laak J AU - Yuan Y AU - Amgad M AU - Cooper L AU - Hagos Y AU - AbdulJabbar K AU - Meakin J AU - van Ginneken B AU - Yan H AU - Lemonnier J AU - Penault-Llorca F AU - Lacroix-Triki M AU - Joensuu H AU - Kellokumpu-Lehtinen PL AU - Loibl S AU - Denkert C AU - Viale G AU - Colleoni MA AU - Sotiriou C AU - Piccart M AU - Dieci MV AU - Demaria S AU - Kammler R AU - Wolff AC AU - Sparano JA AU - Adams S AU - Badve S AU - Gray RJ AU - Curigliano G AU - Salomon AV AU - Nielsen TO AU - Pusztai L AU - Ciompi F AU - Michiels S AU - Loi S AU - International Immuno-Oncology Biomarker Working Group PY - 2026 JO - The Lancet. Oncology DO - 10.1016/s1470-2045(26)00339-6 UR - https://doi.org/10.1016/s1470-2045(26)00339-6 ER -
APA
JR, D., D, D., R, S., B, A., J, V. D. L., Y, Y., M, A., L, C., Y, H., K, A., J, M., B, V. G., H, Y., J, L., F, P., M, L., H, J., PL, K., S, L., C, D., G, V., MA, C., C, S., M, P., MV, D., S, D., R, K., AC, W., JA, S., S, A., S, B., RJ, G., G, C., AV, S., TO, N., L, P., F, C., S, M., S, L., & Group, I. I. B. W. (2026). Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.. The Lancet. Oncology. https://doi.org/10.1016/s1470-2045(26)00339-6
Source records
- pubmed · retrieved 2026-09-26T00:19:44.630Z