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Syst."],"published-print":{"date-parts":[[2022,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In breast cancer image analysis, reliable segmentation of the nuclei is still an open-ended research problem. In this paper, a new clustering-based nuclei segmentation method is presented. First, the proposed method pre-processes the histopathology image through SLIC method. Then, a novel variant of multi-objective grey wolf optimizer is employed to group the obtained super-pixels into optimal clusters. Lastly, the optimal cluster with minimum value is segmented as the nuclei region. The experimental results demonstrates that the proposed variant of multi-objective grey wolf algorithm surpasses the existing multi-objective algorithms over ten standard multi-objective benchmark functions belonging to different categories. Particularly, the proposed variant has achieved best fitness value of more than 0.90 on 90% of the considered functions. Further, the nuclei segmentation accuracy of the proposed method is validated on H&amp;E-stained estrogen receptor positive (ER+) breast cancer images. Experimental results illustrates that the proposed method has attained dice-coefficient value of more than 0.52 on 80% of the images. This illustrates that the proposed method is efficient in producing efficacious segmenting over histology images of Breast cancer.<\/jats:p>","DOI":"10.1007\/s40747-021-00547-y","type":"journal-article","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T00:07:40Z","timestamp":1633392460000},"page":"569-582","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An optimal nuclei segmentation method based on enhanced multi-objective GWO"],"prefix":"10.1007","volume":"8","author":[{"given":"Ravi","family":"Sharma","sequence":"first","affiliation":[]},{"given":"Kapil","family":"Sharma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,4]]},"reference":[{"key":"547_CR1","unstructured":"Pal R (2019) Enhancement of bag of features method for classification of histopathological images, Ph.D. dissertation, JIIT, Noida [Online]. https:\/\/shodhganga.inflibnet.ac.in\/handle\/10603\/276586"},{"key":"547_CR2","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1109\/RBME.2009.2034865","volume":"2","author":"MN Gurcan","year":"2009","unstructured":"Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B (2009) Histopathological image analysis: a review. 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