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Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular El...

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular El...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2281568542

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

About this item

Full title

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2019-08

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Deep learning model trained by imbalanced data may not work satisfactorily since it could be determined by major classes and thus may ignore the classes with small amount of data. In this paper, we apply deep learning based imbalanced data classification for the first time to cellular macromolecular complexes captured by Cryo-electron tomography (C...

Alternative Titles

Full title

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2281568542

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2281568542

Other Identifiers

E-ISSN

2331-8422

How to access this item