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In this study, hyperspectral imaging (HSI) and unsupervised classification techniques were used to distinguish normal and necrotic sites of small intestinal tissues. Small intestinal tissue hyperspectral images of eight Japanese large\u2010eared white rabbits were acquired using a visible near\u2010infrared hyperspectral camera, and K\u2010means and density peaks (DP) clustering algorithms were used to differentiate between normal and necrotic tissue. The three cases in this study showed that the average clustering purity of the DP clustering algorithm reached 92.07% when the two band combinations of 500\u2013622 and 700\u2013858\u2009nm were selected. The results of this study suggest that HSI and DP clustering can assist physicians in distinguishing between normal and necrotic sites in the small intestine in vivo.<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/jbio202300020-gra-0001.png\" xlink:title=\"image\"\/><\/jats:p>","DOI":"10.1002\/jbio.202300020","type":"journal-article","created":{"date-parts":[[2023,3,26]],"date-time":"2023-03-26T16:15:54Z","timestamp":1679847354000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Discrimination between normal and necrotic small intestinal tissue using hyperspectral imaging and unsupervised classification"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8711-6764","authenticated-orcid":false,"given":"Lechao","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Optoelectronic Engineering Changchun University of Science 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