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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Detalles Bibliográficos
Autores principales: Doyle, Scott, Monaco, James, Feldman, Michael, Tomaszewski, John, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284114/
https://www.ncbi.nlm.nih.gov/pubmed/22034914
http://dx.doi.org/10.1186/1471-2105-12-424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284114/
https://www.ncbi.nlm.nih.gov/pubmed/22034914
http://dx.doi.org/10.1186/1471-2105-12-424

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