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Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer
BACKGROUND: Tumor classification is inexact and largely dependent on the qualitative pathological examination of the images of the tumor tissue slides. In this study, our aim was to develop an automated computational method to classify Hematoxylin and Eosin (H&E) stained tissue sections based on...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1634843/ https://www.ncbi.nlm.nih.gov/pubmed/17069651 http://dx.doi.org/10.1186/1471-2342-6-14 |