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Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

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Researchers have developed a novel AI

Summary written by gemini-2.5-flash-lite from 1 sources. How we write summaries →

RANK_REASON [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Yannick Kirchhoff, Maximilian Rokuss, Daniel Philipp Mertens, David F\"uller, Benjamin Hamm, Andreas Schreyer, Oliver Ritter, Klaus Maier-Hein ·

    Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking

    arXiv:2605.23118v1 Announce Type: cross Abstract: Tracking tumor lesions across serial CT scans is essential for oncological response assessment. Existing automated methods face a fundamental trade-off: end-to-end trackers achieve high automation but offer no opportunity to corre…