Diffusion-based augmentation plus nonlinear feature fusion yields a reported 98.0% accuracy on a small breast thermogram dataset, but the evaluation protocol is not fully disclosed.
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model,
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Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion
Diffusion-based augmentation plus nonlinear feature fusion yields a reported 98.0% accuracy on a small breast thermogram dataset, but the evaluation protocol is not fully disclosed.