Interpretable breast cancer diagnosis using histopathology and lesion mask as domain concepts conditional simulation ultrasonography
Abstract: Highlights•Novel SgmaFuse framework integrates histopathology concepts with ultrasound imaging diagnostics.•Spatially guided multi-level alignment mechanism coordinates cross-modal feature interactions.•Histological semantic activation vector learning enhances model interpretability and accuracy.•Visual attention maps and concept-level contributions provide structured diagnostic explanations.•The framework validates concept-based interpretable learning across medical domains.
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