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- W2149187843 abstract "The object of this paper is to study of validity of three-dimensional texture features for the cell nuclei image classification. We expanded the GLCM (Gray Level Co-occurrence Matrix) and the GLRLM (Gray Level Run Length Matrix) to include three-dimensional textural information and created a new classification model. Then, we performed a comparative study using 5 classification models. Through the result of this study, we could develop a new computerized grading system of cell nuclei image classification which has higher clinical usability." @default.
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- W2149187843 date "2006-01-01" @default.
- W2149187843 modified "2023-10-14" @default.
- W2149187843 title "Cell nuclei image classification using three-dimensional texture features" @default.
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- W2149187843 doi "https://doi.org/10.1109/health.2006.246432" @default.
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