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- W4297494761 abstract "Complete recognition of necrotic areas during small bowel tissue resection remains challenging due to the lack of optimal intraoperative aid identification techniques. This research utilizes hyperspectral imaging techniques to automatically distinguish normal and necrotic areas of small intestinal tissue. Sample data were obtained from the animal model of small intestinal tissue of eight Japanese large-eared white rabbits developed by experienced physicians. A spectral library of normal and necrotic regions of small intestinal tissue was created and processed using six different supervised classification algorithms. The results show that hyperspectral imaging combined with supervised classification algorithms can be a suitable technique to automatically distinguish between normal and necrotic areas of small intestinal tissue. This new technique could aid physicians in objectively identify normal and necrotic areas of small intestinal tissue." @default.
- W4297494761 created "2022-09-29" @default.
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- W4297494761 date "2022-10-27" @default.
- W4297494761 modified "2023-10-14" @default.
- W4297494761 title "Visible near-infrared hyperspectral imaging and supervised classification for the detection of small intestinal necrosis tissue in vivo" @default.
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- W4297494761 doi "https://doi.org/10.1364/boe.470202" @default.
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