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Robust Cell Segmentation for Histological Images of Glioblastoma
Glioblastoma (GBM) is a malignant brain tumor with uniformly dismal prognosis. Quantitative analysis of GBM cells is an important avenue to extract latent histologic disease signatures to correlate with molecular underpinnings and clinical outcomes. As a prerequisite, a robust and accurate cell segm...
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| Gepubliceerd in: | Proc IEEE Int Symp Biomed Imaging |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5382998/ https://ncbi.nlm.nih.gov/pubmed/28392891 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2016.7493444 |
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