Diagnosing gangrenous cholecystitis on computed tomography using deep learning: A preliminary study
Diagnosing gangrenous cholecystitis on computed tomography using deep learning: A preliminary study
About this item
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Publisher
Hoboken: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
Hoboken: John Wiley & Sons, Inc
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Scope and Contents
Contents
Aim
To compare deep learning and experienced physicians in diagnosing gangrenous cholecystitis using computed tomography images and explore the feasibility of diagnostic assistance for acute cholecystitis requiring emergency surgery.
Methods
This retrospective study included 25 patients with pathologically confirmed gangrenous cholecystiti...
Alternative Titles
Full title
Diagnosing gangrenous cholecystitis on computed tomography using deep learning: A preliminary study
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TN_cdi_doaj_primary_oai_doaj_org_article_8546bd32d3cc4bbb8542233f675a54a3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8546bd32d3cc4bbb8542233f675a54a3
Other Identifiers
ISSN
2052-8817
E-ISSN
2052-8817
DOI
10.1002/ams2.783
