HIGHLIGHTS
- who: August et al. from the Shandong University, China have published the research work: Self-supervised learning for macromolecular structure classi cation based on cryo-electron tomograms, in the Journal: (JOURNAL)
- what: The authors design a domain-specific augmentation pipeline for cryo-ET data. The authors propose a self-supervised learning framework for classification of macromolecules from subtomograms extracted from cryo-ET images.. The authors demonstrate the improvements of self-supervised learning in a semi-supervised learning setting using both labelled and unlabelled cryo-ET data.. Based on the above arguments, the authors propose a . . .
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