A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer:...
A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study
About this item
Full title
Author / Creator
Han, Xiaomeng , Guan, Jing , Guo, Li , Jiao, Qiyan , Wang, Kexin , Hou, Feng , Liu, Shunli , Yang, Shifeng , Huang, Chencui , Cong, Wenbin and Wang, Hexiang
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
To construct and assess a deep learning (DL) signature that employs computed tomography imaging to predict the expression status of programmed cell death ligand 1 in patients with bladder cancer (BCa).
This retrospective study included 190 patients from two hospitals who underwent surgical removal of BCa (training set/external validation set, 12...
Alternative Titles
Full title
A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_67df28f2d79640619294ffae1ee0f159
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_67df28f2d79640619294ffae1ee0f159
Other Identifiers
ISSN
1470-7330,1740-5025
E-ISSN
1470-7330
DOI
10.1186/s40644-025-00849-1
