Feb 24, 2022 · The proposed machine-learning framework is the best performing solution compared to the studies reported in the literature.
In this work, a publicly available dataset was categorized into different classes, which were corroborated by domain experts, based on a ...
Jul 27, 2024 · The multilayer perceptron (MLP) classifier along with the features extracted from thermogram images showed an accuracy of 90.1% in multi-class ...
Apr 25, 2024 · Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of ...
Apr 17, 2023 · Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques ; Author, Rahman, Tawsifur ; Author ...
A comparative study of 1D classifiers and 2D CNN models using enhanced images for reliable diabetic foot detection.
Mar 1, 2022 · Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of ...
Jul 24, 2024 · This study proposes a detection system for foot ulcers using a hybrid approach that combines deep convolutional neural networks (CNN) with an extreme learning ...
In this paper, two different models for the classification of thermograms of the feet of diabetic and healthy individuals are proposed and compared.
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