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Classification of hematologic malignancies using texton signatures
We describe a decision support system to distinguish among hematology cases directly from microscopic specimens. The system uses an image database containing digitized specimens from normal and four different hematologic malignancies. Initially, the nuclei and cytoplasmic components of the specimens...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2772183/ https://ncbi.nlm.nih.gov/pubmed/19890460 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10044-007-0066-x |
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