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K-means clustering / Market segmentation / Cluster analysis / Edge detection / Watershed / Range segmentation / Region growing / Image processing / Statistics / Segmentation


Predicting Segmentation Accuracy for Biological Cell Images Adele P. Peskin1 , Alden A. Dima2 , Joe Chalfoun2 , and John T. Elliot2 2 1
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Document Date: 2010-11-12 15:30:16


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segmentation algorithm / segmentation algorithms / image analysis software / good performing algorithm / image analysis algorithms / k-means algorithms / recent report comparing segmentation algorithms / k-means clustering algorithms / software segmentation pre-processor / /

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PFA / /

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Adele P. Peskin / Joe Chalfoun / John T. Elliot / Alden A. Dima / T. Elliot Fig / Elliot Fig / /

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representative / /

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Texas / Maryland / Colorado / /

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four segmentation algorithms / image analysis algorithms / recent report comparing segmentation algorithms / segmentation algorithms / k-means clustering algorithms / good performing algorithm / four algorithms / k-means algorithms / software segmentation pre-processor / segmentation algorithm / /

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