Empowering physicians to trust algorithmic decisions with transparent visual and statistical explanations.
Standard saliency methods often highlight imaging borders or hospital hospital-bed metal clips rather than pathological lesions. Integrated Gradients and Guided Grad-CAM++ ensure attribution maps strictly highlight anatomical abnormalities.
Providing doctors with a bare probability percentage without epistemic uncertainty is hazardous. The platform couples predictions with Monte Carlo Dropout uncertainty bounds, urging human review when uncertainty is elevated.