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Cited by 302

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Segmentation of Clustered Nuclei With Shape Markers and Marking Function

Open access
Jierong Cheng, Rajapakse, J.C.·2009·IEEE Transactions on Biomedical Engineering

Abstract

We present a method to separate clustered nuclei from fluorescence microscopy cellular images, using shape markers and marking function in a watershed-like algorithm. Shape markers are extracted using an adaptive H-minima transform. A marking function based on the outer distance transform is introduced to accurately separate clustered nuclei. With synthetic images, we quantitatively demonstrate the performance of our method and provide comparisons with existing approaches. On mouse neuronal and Drosophila cellular images, we achieved 6%-7% improvement of segmentation accuracies over earlier methods.

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Metadata

Authors
Cheng, J., & Rajapakse, J. C.
Venue
IEEE Transactions on Biomedical Engineering
Published
2009-03
Volume
56
Issue
3
Pages
741-748
ISSN
  • 0018-9294 (ISSN-L)
  • 1558-2531
OpenAlex
W2120549843
Cited by
302
References
1
FWCI
4.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Segmentation of Clustered Nuclei With Shape Markers and Marking Function. https://app.cochat.ai/papers/10.1109/tbme.2008.2008635
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Cheng, J., & Rajapakse, J. C. (2009). Segmentation of Clustered Nuclei With Shape Markers and Marking Function. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2008.2008635

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