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arXiv Machine Learning By Luyao Tang, Yingkai Yang, Hanqi Chen, Jiewei Zheng, Chaoqi Chen, Cheng Chen

Generalized Biomedicine Discovery

Read the original on arXiv Machine Learning →

The paper introduces Generalized Biomedicine Discovery (GBD), a benchmark that addresses long‑tail, anomaly, and taxonomy‑aware discovery in medical imaging. It proposes SCAN, a cognition‑inspired method that suppresses expected patterns, highlights surprising deviations, and integrates these into global representations. Experiments demonstrate that SCAN enhances novel concept discovery while preserving established clinical knowledge and can be integrated into existing architectures.

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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