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Metrics reloaded: recommendations for image analysis validation

Metrics reloaded: recommendations for image analysis validation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2925768691

Metrics reloaded: recommendations for image analysis validation

About this item

Full title

Metrics reloaded: recommendations for image analysis validation

Publisher

New York: Nature Publishing Group US

Journal title

Nature methods, 2024-02, Vol.21 (2), p.195-212

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest, and thus fail to adequately measure scientific progress and hinder translation of ML techniques into practice. To overcome this, w...

Alternative Titles

Full title

Metrics reloaded: recommendations for image analysis validation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2925768691

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2925768691

Other Identifiers

ISSN

1548-7091,1548-7105

E-ISSN

1548-7105

DOI

10.1038/s41592-023-02151-z

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