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Segmentation and Clustering Analysis of Scanned Foot Models for Intelligent Diabetic Foot Ulcer Offloading Boots

Published Online: 2025-11-10

Authors

Sabzehmeidani, Yaser https://orcid.org/0000-0003-3388-9398
Popa, Andrei-Alexandru https://orcid.org/0000-0002-5729-464X
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Text and Data Mining valid from 2025-11-10

Version of Record valid from 2025-11-10
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Article History

Received: 1 July 2025

Revised: 28 October 2025

Accepted: 30 October 2025

First Online: 10 November 2025

Declarations

Research Involving Human Participants: This study involved the scanning of volunteers’ feet and was conducted in accordance with the ethical standards of the University of Southern Denmark (SDU), Sønderborg Campus, and the 1964 Declaration of Helsinki and its later amendments. Ethical approval was obtained from the SDU Research Ethics Committee (REC) under approval number 12.342.No animals were involved in this research.

Informed Consent: Informed consent was obtained from all volunteers prior to participation. Participants were provided with detailed information about the study’s purpose, procedures, potential risks, and their right to withdraw at any time.

Conflict of interest: The authors declare no competing interests.

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