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The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment

arXiv — cs.CV•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The study on longitudinal mammogram alignment addresses a critical challenge in breast cancer risk assessment, emphasizing the necessity of accurate spatial alignment across time points. Regular mammography screening is vital for early detection, yet misalignment can obscure significant tissue changes, leading to reduced model performance. By evaluating various alignment strategies, including image-based registration and feature-level alignment, the research reveals that image-based methods consistently yield better predictive accuracy and precision. Utilizing two large-scale mammography datasets, the findings indicate that image-based registration not only enhances risk prediction performance but also ensures temporally consistent predictions. This research is a significant step forward in personalizing screening intervals for high-risk individuals, ultimately aiming to improve early detection and treatment outcomes in breast cancer.
— via World Pulse Now AI Editorial System
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