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Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines
Many automatically analyzable scientific questions are well-posed and a variety of information about expected outcomes is available a priori. Although often neglected, this prior knowledge can be systematically exploited to make automated analysis operations sensitive to a desired phenomenon or to e...
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| Veröffentlicht in: | PLoS One |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5667823/ https://ncbi.nlm.nih.gov/pubmed/29095927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0187535 |
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