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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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Bibliographische Detailangaben
Veröffentlicht in:Inf Process Med Imaging
Hauptverfasser: Singh, Shantanu, Janoos, Firdaus, Pécot, Thierry, Caserta, Enrico, Leone, Gustavo, Rittscher, Jens, Machiraju, Raghu
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2011
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4285701/
https://ncbi.nlm.nih.gov/pubmed/21761673
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