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An active learning based classification strategy for the minority class problem: application to histopathology annotation
BACKGROUND: Supervised classifiers for digital pathology can improve the ability of physicians to detect and diagnose diseases such as cancer. Generating training data for classifiers is problematic, since only domain experts (e.g. pathologists) can correctly label ground truth data. Additionally, d...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3284114/ https://ncbi.nlm.nih.gov/pubmed/22034914 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-424 |
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