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Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer
Subarnarekha Chatterji, Marko van Treeck, Chiara Maria Lavinia Loeffler, Oliver Lester Saldanha, Gregory Patrick Veldhuizen, Didem Çifçi, +4 more
8citations -
Deep learning models predicting hormone receptor status in breast cancer trained on females do not generalize to males: further evidence of sex-based disparity in breast cancer
Subarnarekha Chatterji, Jan Niehues, Marko van Treeck, Chiara Maria Lavinia Loeffler, Oliver Lester Saldanha, Gregory Patrick Veldhuizen, +5 more
0citations -
Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome2020 IEEE Journal of Biomedical and Health Informatics article Computer Science AI in cancer detection cited by 1 patent
Daniëlle Krijgsman, Marinus B. van Leeuwen, John van der Ven, Ruud Vlutters, David Halter, Peter J.K. Kuppen, +2 more
32citations -
ODELIA – European swarm learning project for AI in breast cancer MRI2025 The Royal College of Radiologists Open article Computer Science AI in cancer detection Open access
Oliver Lester Saldanha, Nicholas Roy Payne, Lorena Escudero Sánchez, Kamarul Amin Abdullah, Fiona J. Gilbert, Jakob Nikolas Kather, +1 more
0citations -
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more
25citations -
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H van Duijnhoven, Esther H. Lips, Emma Josephine Groen, Marja C.J. van Oirsouw, +23 more
14citations