Internet of things enabled diabetic foot ulcer image analysis support for smart segmentation using virtual sensing Online publication date: Mon, 22-Jul-2024
by Athi Vaishnavi Rengarajan; K. Mahalakshmi
International Journal of Electronic Healthcare (IJEH), Vol. 14, No. 1, 2024
Abstract: At present, the internet of things (IoT) has developed tremendously. When researchers use this development in image processing according to modern science, they bring the best image manipulation methods to current research. Based on this, this research focuses on image segmentation analysis of diabetic foot ulcers in the presence of the IoT. This research does intelligent segmentation analysis to detect diabetic foot ulcers better and treat them through virtual sensing. Regarding this, the proposed system forms the 'multimodal compressed sensing segmentation' to enhance the segmentation quality. Through this, the smart IoT for image segmentation analysis is established, using the smart IoT with the risk analysis by smart risk analysis, and the group is made up of prominent clinical characteristics. This helps to make the validity and reliability assessment of diabetic foot ulcers by analysis of likelihood ratio, sensitivity, and specificity.
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