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231223s2008 xx |||||o 00| ||eng c |
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|a 10.1111/j.1469-8137.2007.02271.x
|2 doi
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|a pubmed24n0585.xml
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|a eng
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|a Zeng, Guang
|e verfasserin
|4 aut
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|a Automatic discrimination of fine roots in minirhizotron images
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|c 2008
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 29.02.2008
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|a Date Revised 10.04.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Minirhizotrons provide detailed information on the production, life history and mortality of fine roots. However, manual processing of minirhizotron images is time-consuming, limiting the number and size of experiments that can reasonably be analysed. Previously, an algorithm was developed to automatically detect and measure individual roots in minirhizotron images. Here, species-specific root classifiers were developed to discriminate detected roots from bright background artifacts. Classifiers were developed from training images of peach (Prunus persica), freeman maple (Acer x freemanii) and sweetbay magnolia (Magnolia virginiana) using the Adaboost algorithm. True- and false-positive rates for classifiers were estimated using receiver operating characteristic curves. Classifiers gave true positive rates of 89-94% and false positive rates of 3-7% when applied to nontraining images of the species for which they were developed. The application of a classifier trained on one species to images from another species resulted in little or no reduction in accuracy. These results suggest that a single root classifier can be used to distinguish roots from background objects across multiple minirhizotron experiments. By incorporating root detection and discrimination algorithms into an open-source minirhizotron image analysis application, many analysis tasks that are currently performed by hand can be automated
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Birchfield, Stanley T
|e verfasserin
|4 aut
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|a Wells, Christina E
|e verfasserin
|4 aut
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773 |
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|i Enthalten in
|t The New phytologist
|d 1979
|g 177(2008), 2 vom: 01., Seite 549-557
|w (DE-627)NLM09818248X
|x 1469-8137
|7 nnns
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|g volume:177
|g year:2008
|g number:2
|g day:01
|g pages:549-557
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|u http://dx.doi.org/10.1111/j.1469-8137.2007.02271.x
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