Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps
Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Objectives
To investigate the differentiation of premalignant from benign colorectal polyps detected by CT colonography using deep learning.
Methods
In this retrospective analysis of an average risk colorectal cancer screening sample, polyps of all size categories and morphologies were manually segmented on supine and prone CT colonography...
Alternative Titles
Full title
Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9213389
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9213389
Other Identifiers
ISSN
1432-1084,0938-7994
E-ISSN
1432-1084
DOI
10.1007/s00330-021-08532-2
