Title: Internet of things enabled diabetic foot ulcer image analysis support for smart segmentation using virtual sensing

Authors: Athi Vaishnavi Rengarajan; K. Mahalakshmi

Addresses: Faculty of Information and Communication Engineering, Anna University, Guindy, Chennai, Tamil Nadu – 600025, India ' Department of Computer Science and Engineering, KIT-Kalaignar Karunanidhi Institute of Technology, Coimbatore – 641402, Tamil Nadu, India

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.

Keywords: compressed sensing; diabetic foot ulcer; DFU; image segmentation; internet of things; IoT; range segmentation; smart segmentation; virtual sensing.

DOI: 10.1504/IJEH.2024.140083

International Journal of Electronic Healthcare, 2024 Vol.14 No.1, pp.54 - 80

Received: 08 Jun 2023
Accepted: 26 Dec 2023
Published online: 22 Jul 2024 *

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