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Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning

Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3dbe89603d96487abbd906fc10ca4e8f

Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning

About this item

Full title

Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning

Publisher

Rovaniemi: MDPI AG

Journal title

Birds (Basel, Switzerland), 2024-03, Vol.5 (1), p.48-66

Language

English

Formats

Publication information

Publisher

Rovaniemi: MDPI AG

More information

Scope and Contents

Contents

Avian blood analysis is a fundamental method for investigating a wide range of topics concerning individual birds and populations of birds. Determining precise blood cell counts helps researchers gain insights into the health condition of birds. For example, the ratio of heterophils to lymphocytes (H/L ratio) is a well-established index for compari...

Alternative Titles

Full title

Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3dbe89603d96487abbd906fc10ca4e8f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3dbe89603d96487abbd906fc10ca4e8f

Other Identifiers

ISSN

2673-6004

E-ISSN

2673-6004

DOI

10.3390/birds5010004

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