AI-based segmentation of renal enhanced CT images for quantitative evaluate of chronic kidney diseas...
AI-based segmentation of renal enhanced CT images for quantitative evaluate of chronic kidney disease
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
To quantitatively evaluate chronic kidney disease (CKD), a deep convolutional neural network-based segmentation model was applied to renal enhanced computed tomography (CT) images. A retrospective analysis was conducted on a cohort of 100 individuals diagnosed with CKD and 90 individuals with healthy kidneys, who underwent contrast-enhanced CT scan...
Alternative Titles
Full title
AI-based segmentation of renal enhanced CT images for quantitative evaluate of chronic kidney disease
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bf460bdc30084b1fa7d7142e55ada423
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf460bdc30084b1fa7d7142e55ada423
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-67658-7
