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Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning
In systems–based approaches for studying processes such as cancer and development, identifying and characterizing individual cells within a tissue is the first step towards understanding the large–scale effects that emerge from the interactions between cells. To this end, nuclear morphology is an im...
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| Wydane w: | Inf Process Med Imaging |
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| Główni autorzy: | , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2011
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4285701/ https://ncbi.nlm.nih.gov/pubmed/21761673 |
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