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Glioma Grading Using Cell Nuclei Morphologic Features in Digital Pathology Images
This work proposes a computationally efficient cell nuclei morphologic feature analysis technique to characterize the brain gliomas in tissue slide images. In this work, our contributions are two-fold: 1) obtain an optimized cell nuclei segmentation method based on the pros and cons of the existing...
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| Publicado no: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5142817/ https://ncbi.nlm.nih.gov/pubmed/27942094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2217559 |
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