DASGAN trains a segmentation network on semi-automatically labeled CK images via unpaired translation to PD-L1, enabling epithelium segmentation and TC score estimation without serial sections.
arXiv preprint (2017)
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Domain adaptation via stain normalization and unpaired translation generates synthetic labeled target images to train nuclei detection networks, reported superior to fully supervised intra-domain baselines.
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DASGAN -- Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images
DASGAN trains a segmentation network on semi-automatically labeled CK images via unpaired translation to PD-L1, enabling epithelium segmentation and TC score estimation without serial sections.
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Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection
Domain adaptation via stain normalization and unpaired translation generates synthetic labeled target images to train nuclei detection networks, reported superior to fully supervised intra-domain baselines.