A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survi...
A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients
About this item
Full title
Author / Creator
Lin, Ting , Mai, Jinhai , Yan, Meng , Li, Zhenhui , Quan, Xianyue and Chen, Xin
Publisher
New Zealand: Dove Medical Press Limited
Journal title
Language
English
Formats
Publication information
Publisher
New Zealand: Dove Medical Press Limited
Subjects
More information
Scope and Contents
Contents
To develop and further validate a deep learning signature-based nomogram from computed tomography (CT) images for prediction of the overall survival (OS) in resected non-small cell lung cancer (NSCLC) patients.
A total of 1792 deep learning features were extracted from non-enhanced and venous-phase CT images for each NSCLC patient in training co...
Alternative Titles
Full title
A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8019610
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8019610
Other Identifiers
ISSN
1179-1322
E-ISSN
1179-1322
DOI
10.2147/CMAR.S299020
