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 accessAbstract
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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Cites
Graph Cuts and Efficient N-D Image Segmentation
Boykov, Y., & Funka-Lea, G. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-7934-5 · Cited by 1,910
Cited by
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
Naylor, P., Laé, M., Reyal, F., & Walter, T. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2865709 · Cited by 685
An Automatic Learning-Based Framework for Robust Nucleus Segmentation
Xing, F., Xie, Y., & Yang, L. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2481436 · Cited by 351
Song, Y., Zhang, L., Chen, S., Ni, D., Lei, B., & Wang, T. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2430895 · Cited by 273
High-throughput histopathological image analysis via robust cell segmentation and hashing
Zhang, X., Xing, F., Su, H., Yang, L., & Zhang, S. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.10.005 · Cited by 87
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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