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This research employs an iterative active learning approach for cryo-EM particle picking that selects informative samples based on uncertainty metrics, progressively enhancing model performance while reducing labeling requirements.

active-learningcomputer-visioncryo-emdeep-learningobject-detection
Creat：2024-07-25T12:02:19
Update：2025-05-05T09:19:18
https://ethesys.lis.nsysu.edu.tw/ETD-db/ETD-search-c/view_etd?URN=etd-0025125-151053
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