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arXiv Machine Learning By Nien-Tsyr Sun, Min-Chen Chen, Hui Nien Hung, Vincent S. Tseng

TALON: A Temporally Aware Longitudinal Framework for Radiology Report Generation

Read the original on arXiv Machine Learning →

TALON is a Temporally Aware Longitudinal framework for radiology report generation that adaptively integrates variable‑length patient histories. Its Dual‑Channel Temporal Fusion Module compares each prior examination with the current one through similarity and change channels, using channel‑specific attention and a prior‑specific gate to weigh relevance and suppress redundancy. Experiments on MIMIC‑CXR demonstrate that TALON surpasses state‑of‑the‑art methods on clinical efficacy and graph‑based metrics, with performance improving as more prior examinations are available.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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