Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study

The Lancet Oncology 2026 Open access

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Authors: Julia R Dixon-Douglas, Damien Drubay, Roberto Salgado, Balazs Acs, Jeroen van der Laak, Yinyin Yuan, Mohamed Amgad, Lee Cooper, Yeman Hagos, Khalid AbdulJabbar, James Meakin, Bram van Ginneken
+27 more Haixi Yan, Jérôme Lemonnier, Frédérique Penault–Llorca, Magali Lacroix‐Triki, Heikki Joensuu, Pirkko‐Liisa Kellokumpu‐Lehtinen, Sybille Loibl, Carsten Denkert, Giuseppe Viale, Marco Angelo Colleoni, Christos Sotiriou, Martine J Piccart, Maria Vittoria Dieci, Sandra Demaria, Roswitha Kammler, Antonio C. Wolff, Joseph A. Sparano, Sylvia Adams, Sunil Badve, Robert J Gray, Giuseppe Curigliano, Anne Vincent Salomon, Torsten O. Nielsen, Lajos Pusztai, Francesco Ciompi, Stefan Michiels, Sherene Loi
DOI: 10.1016/s1470-2045(26)00339-6
Cited by: 1
References: 36

Fields of Study & Subjects

AI in cancer detection Cancer Immunotherapy and Biomarkers Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
The Lancet Oncology
Publisher
Elsevier BV
Volume
27
Issue
9
Pages
1181–1192
Publication date
24 August 2026
Language
EN