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.
In: Intl Wksp on Simulation and Synthesis in Medical Imaging (2017)
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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.