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- W88595698 abstract "A cell classification algorithm that uses first, second and third order statistics of pixel intensity distributions over pre-defined regions is implemented and evaluated. A cell image is segmented into 6 regions extending from a boundary layer to an inner circle. First, second and third order statistical features are extracted from histograms of pixel intensities in these regions. Third order statistical features used are one-dimensional bispectral invariants. 108 features were considered as candidates for Adaboost based fusion. The best 10 stage fused classifier was selected for each class and a decision tree constructed for the 6-class problem. The classifier is robust, accurate and fast by design." @default.
- W88595698 created "2016-06-24" @default.
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- W88595698 date "2013-01-01" @default.
- W88595698 modified "2023-09-26" @default.
- W88595698 title "Cell image classification using histograms, higher order statistics and adaboost" @default.
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- W88595698 hasPublicationYear "2013" @default.
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