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Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard.

, , , , , , and . CoRR, (2023)

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Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks., , , and . CoRR, (2018)EXACT: A collaboration toolset for algorithm-aided annotation of almost everything., , , , , , , , and . CoRR, (2020)Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images., , , , , , , , and . CoRR, (2021)First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain., , , , , , , and . CoRR, (2021)Enabling Collagen Quantification on HE-stained Slides Through Stain Deconvolution and Restained HE-HES., , , , , and . CoRR, (2022)Field of Interest Prediction for Computer-Aided Mitotic Count., , , , , , , , , and 2 other author(s). CoRR, (2019)Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector., , , , , , and . CoRR, (2022)Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 115. Springer, (2023)Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector., , , , , , and . Bildverarbeitung für die Medizin, page 189-195. Springer, (2023)Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT., , , , , , , , and . Bildverarbeitung für die Medizin, page 147-152. Springer, (2021)