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Development of "Mathematical Technology for Cytopathology," an Image Analysis Algorithm for Pancreat...

Development of "Mathematical Technology for Cytopathology," an Image Analysis Algorithm for Pancreat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9191568738548e18afd80b7993d7e9c

Development of "Mathematical Technology for Cytopathology," an Image Analysis Algorithm for Pancreatic Cancer

About this item

Full title

Development of "Mathematical Technology for Cytopathology," an Image Analysis Algorithm for Pancreatic Cancer

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2022-05, Vol.12 (5), p.1149

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related death worldwide. The accuracy of a PDAC diagnosis based on endoscopic ultrasonography-guided fine-needle aspiration cytology can be strengthened by performing a rapid on-site evaluation (ROSE). However, ROSE can only be performed in a limited number of facilities, due to a...

Alternative Titles

Full title

Development of "Mathematical Technology for Cytopathology," an Image Analysis Algorithm for Pancreatic Cancer

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d9191568738548e18afd80b7993d7e9c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9191568738548e18afd80b7993d7e9c

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics12051149

How to access this item