EPicker is an exemplar-based continual learning approach for knowledge accumulation in cryoEM particle picking

Many existing deep learning algorithms for particle picking are not predictable on unseen datasets. Here the authors report an exemplar-based continual learning approach, EPicker, enabling accumulation of new knowledge of cryoEM particle picking without catastrophic forgetting of old knowledge.

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Bibliografiske detaljer
Main Authors: Xinyu Zhang, Tianfang Zhao, Jiansheng Chen, Yuan Shen, Xueming Li
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2022-05-01
Serier:Nature Communications
Online adgang:https://doi.org/10.1038/s41467-022-29994-y
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