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Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7985025

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

About this item

Full title

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Publisher

New York: Elsevier Inc

Journal title

Laboratory investigation, 2021-04, Vol.101 (4), p.525-533

Language

English

Formats

Publication information

Publisher

New York: Elsevier Inc

More information

Scope and Contents

Contents

Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer that can progress into invasive ductal carcinoma (IDC). Studies suggest DCIS is often overtreated since a considerable part of DCIS lesions may never progress into IDC. Lower grade lesions have a lower progression speed and risk, possibly allowing treatment de-escalation. However, stud...

Alternative Titles

Full title

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7985025

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7985025

Other Identifiers

ISSN

0023-6837

E-ISSN

1530-0307

DOI

10.1038/s41374-021-00540-6

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