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Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 136. Springer, (2024)Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge., , , , , , , , , and 9 other author(s). Medical Image Anal., (2019)Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology., , , , , , , , , and . ISBI, page 1-5. IEEE, (2023)Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images., , , , , , , and . CoRR, (2020)Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset., , , , , , , , , and . Bildverarbeitung für die Medizin, page 206-211. Springer, (2023)Mitosis domain generalization in histopathology images - The MIDOG challenge., , , , , , , , , and 25 other author(s). CoRR, (2022)Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge., , , , , , , , , and 20 other author(s). Medical Image Anal., (2024)Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology., , , , , , , , , and . CoRR, (2022)Mitosis domain generalization in histopathology images - The MIDOG challenge., , , , , , , , , and 31 other author(s). Medical Image Anal., (2023)Segmentation and Classification of Melanoma and Nevus in Whole Slide Images., , , , , , , and . ISBI, page 263-266. IEEE, (2020)