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Optimizing deep learning-based segmentation of densely packed cells using cell surface markers

Optimizing deep learning-based segmentation of densely packed cells using cell surface markers

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba9b714458134d6cb1d81dd6a44e802b

Optimizing deep learning-based segmentation of densely packed cells using cell surface markers

About this item

Full title

Optimizing deep learning-based segmentation of densely packed cells using cell surface markers

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2024-05, Vol.24 (1), p.124-13, Article 124

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Spatial molecular profiling depends on accurate cell segmentation. Identification and quantitation of individual cells in dense tissues, e.g. highly inflamed tissue caused by viral infection or immune reaction, remains a challenge.
We first assess the performance of 18 deep learning-based cell segmentation models, either pre-trained or trained b...

Alternative Titles

Full title

Optimizing deep learning-based segmentation of densely packed cells using cell surface markers

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ba9b714458134d6cb1d81dd6a44e802b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba9b714458134d6cb1d81dd6a44e802b

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-024-02502-6

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