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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
2022
Sensors
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of foot ulceration. Machine learning approaches applied to such infrared images may have utility in the early diagnosis of diabetic foot complications. In this work, a publicly available dataset was categorized into different classes, which were corroborated by domain
doi:10.3390/s22051793
pmid:35270938
pmcid:PMC8915003
fatcat:6zq5yotfb5abjped5f7zi5i3n4