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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemis...

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2092779975

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

About this item

Full title

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2019-02

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Prostate cancer (PCa) is graded by pathologists by examining the architectural pattern of cancerous epithelial tissue on hematoxylin and eosin (H&E) stained slides. Given the importance of gland morphology, automatically differentiating between glandular epithelial tissue and other tissues is an important prerequisite for the development of automat...

Alternative Titles

Full title

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2092779975

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2092779975

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.1808.05883

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