The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering
Abstract
In this paper, we present a fully automated method for cell nuclei detection in Pap smear images. The locations of the candidate nuclei centroids in the image are detected with morphological analysis and they are refined in a second step, which incorporates a priori knowledge about the circumference of each nucleus. The elimination of the undesirable artifacts is achieved in two steps: the application of a distance-dependent rule on the resulted centroids; and the application of classification algorithms. In our method, we have examined the performance of an unsupervised (fuzzy C-means) and a supervised (support vector machines) classification technique. In both classification techniques, the effect of the refinement step improves the performance of the clustering algorithm. The proposed method was evaluated using 38 cytological images of conventional Pap smears containing 5617 recognized squamous epithelial cells. The results are very promising, even in the case of images with high degree of cell overlapping.
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Cites
Contrast Limited Adaptive Histogram Equalization
Zuiderveld, K. (1994) · Graphics Gems · doi:10.1016/b978-0-12-336156-1.50061-6 · Cited by 4,192
Cited by
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
Liu, G., Ding, Q., Luo, H., Sha, M., Li, X., & Ju, M. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106194 · Cited by 81
Microscopic malaria parasitemia diagnosis and grading on benchmark datasets
Rehman, A., Abbas, N., Saba, T., Mehmood, Z., Mahmood, T., & Ahmed, K. T. (2018) · Microscopy Research and Technique · doi:10.1002/jemt.23071 · Cited by 57
Metadata
- Authors
- Plissiti, M. E., Nikou, C., & Charchanti, A.
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2011-03
- Volume
- 15
- Issue
- 2
- Pages
- 233-241
- ISSN
- 1089-7771 (ISSN-L)
- 1558-0032
- OpenAlex
- W2106798291
- Cited by
- 219
- References
- 1
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Plissiti, M. E., Nikou, C., & Charchanti, A. (2011). Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering. IEEE Transactions on Information Technology in Biomedicine. https://doi.org/10.1109/titb.2010.2087030
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