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A deep learning approach for medical waste classification

A deep learning approach for medical waste classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_195a062c97c744349a47588335413712

A deep learning approach for medical waste classification

About this item

Full title

A deep learning approach for medical waste classification

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-02, Vol.12 (1), p.2159-2159, Article 2159

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

As the demand for health grows, the increase in medical waste generation is gradually outstripping the load. In this paper, we propose a deep learning approach for identification and classification of medical waste. Deep learning is currently the most popular technique in image classification, but its need for large amounts of data limits its usage...

Alternative Titles

Full title

A deep learning approach for medical waste classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_195a062c97c744349a47588335413712

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_195a062c97c744349a47588335413712

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-06146-2

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