Automated DFU detection through GA-selected CNN ensemble with Grad-CAM interpretability.

The results showed highly significant improvements ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${p} < 0.001$$\end{document} ) across all comparisons: M1 ( t = 31.847), M2 ( t = 31.847), M3 ( t = 19.333), M4 ( t = 44.721), M5 ( t = 13.377), M6 ( t = 46.000), and M7 ( t = 42.485).

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