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Title of Journal: Neural Comput Applic

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Abbravation: Neural Computing and Applications

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Springer London

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ISSN

1433-3058

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A novel segmentation algorithm for nucleus in whit

Authors: Feilong Cao Miaomiao Cai Jianjun Chu Jianwei Zhao Zhenghua Zhou
Publish Date: 2016/06/01
Volume: 28, Issue: 1, Pages: 503-511
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Abstract

White blood cells WBCs segmentation is a challenging problem in the study of automated morphological systems due to both the complex nature of the cells and the uncertainty that is present in video microscopy This paper investigates how to boost the effects of regionbased nucleus segmentation in WBCs by means of optimal thresholding and lowrank representation The main idea is firstly using optimal thresholding to obtain the possible uniform WBC regions in the input image After that a manifoldbased lowrank representation technique is employed to infer a unified affinity matrix that implicitly encodes the segmentation of the pixels of possible WBC regions This is achieved by separating the lowrank affinities from the feature matrix into a pair of sparse and lowrank matrices The experiments show that the proposed method is possible to produce better segmentation results compared with existing approaches

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