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Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural ne...

Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural ne...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_870a4535a412474faaef410028f69084

Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks

About this item

Full title

Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks

Publisher

England: BioMed Central Ltd

Journal title

BMC medicine, 2020-08, Vol.18 (1), p.236-236, Article 236

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Ovarian cancer causes 151,900 deaths per year worldwide. Treatment and prognosis are primarily determined by the histopathologic interpretation in combination with molecular diagnosis. However, the relationship between histopathology patterns and molecular alterations is not fully understood, and it is difficult to predict patients' chemotherapy re...

Alternative Titles

Full title

Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_870a4535a412474faaef410028f69084

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_870a4535a412474faaef410028f69084

Other Identifiers

ISSN

1741-7015

E-ISSN

1741-7015

DOI

10.1186/s12916-020-01684-w

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