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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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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Medknow Publications & Media Pvt Ltd
2012
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| 主題: | |
| オンライン･アクセス: | 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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