Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer
Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer
About this item
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Author / Creator
Deng, Shuitang , Ding, Jingfeng , Wang, Hui , Mao, Guoqun , Sun, Jing , Hu, Jinwen , Zhu, Xiandi , Cheng, Yougen , Ni, Genghuan and Ao, Weiqun
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
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Scope and Contents
Contents
To explore the value of a multiparametric magnetic resonance imaging (MRI)-based deep learning model for the preoperative prediction of Ki67 expression in prostate cancer (PCa).
The data of 229 patients with PCa from two centers were retrospectively analyzed and divided into training, internal validation, and external validation sets. Deep learn...
Alternative Titles
Full title
Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a1313d8682b240f1aa8b294a72782780
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a1313d8682b240f1aa8b294a72782780
Other Identifiers
ISSN
1471-2407
E-ISSN
1471-2407
DOI
10.1186/s12885-023-11130-8
