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In Silico Analysis of Nuclei in Glioblastoma using Large-scale Microscopy Images Improves Prediction of Treatment Response
In this paper, we present a complete and novel workflow for quantitative nuclear feature analysis of glioblastoma using high-throughput whole-slide microscopy image processing as it relates to treatment response and patient survival. With a complete suite of computer algorithms, large numbers of mic...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3292262/ https://ncbi.nlm.nih.gov/pubmed/22254257 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IEMBS.2011.6089903 |
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