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The proposed classification model effectively identifies and classifies the different categories of histopathological images. Furthermore, the comparative experimental result analysis of proposed reinforcement cat swarm optimization-based bag-of-feature is performed on standard quality metrics measures. The observation states that reinforcement cat swarm optimization-based bag-of-feature outperforms the other methods and provides promising results.<\/jats:p>","DOI":"10.1007\/s40747-022-00726-5","type":"journal-article","created":{"date-parts":[[2022,5,3]],"date-time":"2022-05-03T09:03:14Z","timestamp":1651568594000},"page":"5027-5046","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["New bag-of-feature for histopathology image classification using reinforced cat swarm algorithm and weighted Gaussian mixture modelling"],"prefix":"10.1007","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7038-5944","authenticated-orcid":false,"given":"Surbhi","family":"Vijh","sequence":"first","affiliation":[]},{"given":"Sumit","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Mukesh","family":"Saraswat","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,3]]},"reference":[{"issue":"1","key":"726_CR1","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/1471-2342-6-14","volume":"6","author":"S Petushi","year":"2006","unstructured":"Petushi S, Garcia FU, Haber MM, Katsinis C, Tozeren A (2006) Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer. 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