Deep Learning Classification for Diabetic Foot Thermograms.

Most of these CAD systems follow an offline process, which consists of preprocessing the images, extracting relevant features, analyzing statistical techniques, determining the highly significant features, and finally classifying them with either some manual techniques (like thresholding or the point-to-point mean difference technique) or by using computational intelligent methods (like Artificial Neural Networks or Fuzzy Logic).

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