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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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| Publicado en: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | 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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