[HTML][HTML] Update on the use of infrared thermography in the early detection of diabetic foot complications: a bibliographic review

M Faus Camarena, M Izquierdo-Renau… - Sensors, 2023 - mdpi.com
Foot lesions are among the most frequent causes of morbidity and disability in the diabetic
population. Thus, the exploration of preventive control measures is vital for detecting early …

[HTML][HTML] Artificial intelligence methodologies applied to technologies for screening, diagnosis and care of the diabetic foot: A narrative review

G Chemello, B Salvatori, M Morettini, A Tura - Biosensors, 2022 - mdpi.com
Diabetic foot syndrome is a multifactorial pathology with at least three main etiological
factors, ie, peripheral neuropathy, peripheral arterial disease, and infection. In addition to …

[HTML][HTML] A machine learning model for early detection of diabetic foot using thermogram images

A Khandakar, MEH Chowdhury, MBI Reaz… - Computers in biology …, 2021 - Elsevier
Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The
prevention of DFU may be achieved by the identification of patients at risk of DFU and the …

A novel machine learning approach for severity classification of diabetic foot complications using thermogram images

A Khandakar, MEH Chowdhury, MBI Reaz, SHM Ali… - Sensors, 2022 - mdpi.com
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated
to a high index of mortality. One of its major complications is diabetic foot, leading to plantar …

3d multi-modality medical imaging: Combining anatomical and infrared thermal images for 3d reconstruction

M Abreu de Souza, DC Alka Cordeiro, J Oliveira… - Sensors, 2023 - mdpi.com
Medical thermography provides an overview of the human body with two-dimensional (2D)
information that assists the identification of temperature changes, based on the analysis of …

Thermal change index-based diabetic foot thermogram image classification using machine learning techniques

A Khandakar, MEH Chowdhury, MBI Reaz, SHM Ali… - Sensors, 2022 - mdpi.com
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 …

Meta‐analyses of randomized controlled trials reporting the effect of home foot temperature monitoring, patient education or offloading footwear on the incidence of …

C Alahakoon, M Fernando, C Galappaththy… - Diabetic …, 2020 - Wiley Online Library
Aim The aim of this study was to perform an up‐to‐date systematic review and meta‐
analysis of randomized controlled trials (RCTs) examining the efficacy of home foot …

Coupling mechanism of dissipated energy–infrared radiation energy of the deformation and fracture of composite coal-rock under load

X Li, H Li, Z Yang, H Zuo, W Sun, H Li, Y Li - ACS omega, 2022 - ACS Publications
The fracture of composite coal-rock under load is the process of energy conversion. As the
dissipative energy composition, there is a correlation between the infrared radiation energy …

Early detection of foot ulceration in type II diabetic patient using registration method in infrared images and descriptive comparison with deep learning methods

M Rai, T Maity, R Sharma, RK Yadav - The Journal of Supercomputing, 2022 - Springer
In today's scenario, Diabetes Mellitus (DM) is a major medical issue that comes with
numerous complications. It is the most imperative disease associated with a diabetic foot …

A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring

M Kaselimi, E Protopapadakis, A Doulamis… - Frontiers in …, 2022 - frontiersin.org
Diabetic foot complications have multiple adverse effects in a person's quality of life. Yet,
efficient monitoring schemes can mitigate or postpone any disorders, mainly by early …