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Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images

Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_873495264a614db2a152af9903997d8a

Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images

About this item

Full title

Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images

Publisher

Basel: MDPI AG

Journal title

Journal of imaging, 2018-07, Vol.4 (7), p.91

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The detection of objects of interest in high-resolution digital pathological images is a key part of diagnosis and is a labor-intensive task for pathologists. In this paper, we describe a Faster R-CNN-based approach for the detection of glomeruli in multistained whole slide images (WSIs) of human renal tissue sections. Faster R-CNN is a state-of-th...

Alternative Titles

Full title

Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_873495264a614db2a152af9903997d8a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_873495264a614db2a152af9903997d8a

Other Identifiers

ISSN

2313-433X

E-ISSN

2313-433X

DOI

10.3390/jimaging4070091

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