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Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset., , , , , , , , and . CoRR, (2022)Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 260. Springer, (2021)Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning., , , , , , , , , and 8 other author(s). Bildverarbeitung für die Medizin, page 10. Springer, (2024)Iterative Cross-Scanner Registration for Whole Slide Images., , , , , , , and . ICCVW, page 582-590. IEEE, (2021)Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset., , , , , and . CoRR, (2020)Deep Learning-based Cell Detection in Microscopy Images.. University of Erlangen-Nuremberg, Germany, (2022)Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors., , , , , , , , , and 1 other author(s). Bildverarbeitung für die Medizin, page 134-139. Springer, (2021)Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens., , , , , , , , , and 2 other author(s). CoRR, (2021)Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides., , , , , , , , , and 6 other author(s). CoRR, (2019)Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment., , , , , and . CoRR, (2019)