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Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification

Cell or nucleus quantification has recently achieved state-of-the-art performance by using convolutional neural networks (CNNs). In general, training CNNs requires a large amount of annotated microscopy image data, which is prohibitively expensive or even impossible to obtain in some applications. A...

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Detalhes bibliográficos
Publicado no:Med Image Comput Comput Assist Interv
Main Authors: Xing, Fuyong, Bennett, Tell, Ghosh, Debashis
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6903918/
https://ncbi.nlm.nih.gov/pubmed/31825019
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32239-7_82
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