Convolutional neural network applied to preoperative venous-phase CT images predicts risk category i...
Convolutional neural network applied to preoperative venous-phase CT images predicts risk category in patients with gastric gastrointestinal stromal tumors
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Author / Creator
Wang, Jian , Shao, Meihua , Hu, Hongjie , Xiao, Wenbo , Cheng, Guohua , Yang, Guangzhao , Ji, Hongli , Yu, Susu , Wan, Jie , Xie, Zongyu and Xu, Maosheng
Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
The risk category of gastric gastrointestinal stromal tumors (GISTs) are closely related to the surgical method, the scope of resection, and the need for preoperative chemotherapy. We aimed to develop and validate convolutional neural network (CNN) models based on preoperative venous-phase CT images to predict the risk category of gastric GISTs.
Alternative Titles
Full title
Convolutional neural network applied to preoperative venous-phase CT images predicts risk category in patients with gastric gastrointestinal stromal tumors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6a0f990508324b3a9870770926906025
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a0f990508324b3a9870770926906025
Other Identifiers
ISSN
1471-2407
E-ISSN
1471-2407
DOI
10.1186/s12885-024-11962-y
