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A comparison of sampling strategies for histological image analysis

Histological image analysis methods often employ machine-learning classifiers in order to adapt to the huge variability of histological images. To train these classifiers, the user must select samples of the relevant image objects. In the field of active learning, there has been much research on sam...

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Homeyer, André, Schenk, Andrea, Dahmen, Uta, Dirsch, Olaf, Huang, Hai, Hahn, Horst K.
Format: Artigo
Langue:Inglês
Publié: Medknow Publications & Media Pvt Ltd 2012
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3312717/
https://ncbi.nlm.nih.gov/pubmed/22811955
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2153-3539.92034
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