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Impact of Input Resolution in Mammographic Mass Detection: A Controlled Multi-Architecture Study

arXiv:2611.04200v1 Announce Type: new Abstract: Deep-learning-based mass detectors usually downsample mammograms, trading fine image detail for lower computational cost. However, published studies cannot reveal how much accuracy this trade-off sacrifices, since they also differ in architecture, pre…

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  1. 2026-11-04 05:00 · arXiv cs.CV
    Impact of Input Resolution in Mammographic Mass Detection: A Controlled Multi-Architecture Study

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