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Virtual Microscopy and Grid-enabled Decision Support for Large Scale Analysis of Imaged Pathology Specimens
Breast cancer accounts for about 30% of all cancers and 15% of cancer deaths in women. Advances in computer assisted analysis hold promise for classifying subtypes of disease and improving prognostic accuracy. We introduce a Grid-enabled decision support system for performing automatic analysis of i...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3683401/ https://ncbi.nlm.nih.gov/pubmed/19369162 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TITB.2009.2020159 |
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