Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
F Klauschen, K-R Mueller, A Binder, M Bockmayr, M Haegele, P Seegerer, S Wienert, G Pruneri, S de Maria, S Badve, S Michiels, TO Nielsen, S Adams, P Savas, F Symmans, S Willis, T Gruosso, M Park, B Haibe-Kains, B Gallas Show all
Seminars in Cancer Biology | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | Published : 2018
Awarded by Institute for Information & Communications Technology Promotion (IITP) grant - Korea government (MSIT)
Awarded by Deutsche Forschungsgemeinschaft (DFG)
Awarded by German Ministry for Education and Research, Berlin Big Data Center (BBDC)
RS and SL are supported by a grant from the Breast Cancer Research Foundation (BCRF). CD and FK are supported by the German Cancer Consortium (Berlin partner site, DKTK). This work was supported by the Brain Korea 21 Plus Program through the National Research Foundation of Korea; the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) [No. 2017-0-01779]; the Deutsche Forschungsgemeinschaft (DFG) [grant MU 987/17-1]; and the German Ministry for Education and Research as Berlin Big Data Center (BBDC) [01IS14013A] and Berlin Machine Learning Center (BZML). This publication only reflects the authors views.