Machine learning-based predictive model for the differential diagnosis of ≤ 5 cm gastric stromal tumor and gastric schwannoma based on CT images

Machine learning-based predictive model for the differential diagnosis of ≤ 5 cm gastric stromal tumor and gastric schwannoma based on CT images

Abstract The clinical symptoms of ≤ 5 cm gastric stromal tumor (GST) and gastric schwannoma (GS) are similar, but the treatment regimens are different. This study explored the value of computed tomography (CT) combined with machine learning (ML) algorithms to find the best model to discriminate them...

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Bibliographic Details
Main Authors: Guoxian Chen, Lifang Fan, Jie Liu, Shujian Wu
Format: Article
Language:English
Published: Springer 2023-10-01
Series:Discover Oncology
Subjects:
Computed tomography
Machine learning
Gastric tumors
Gastric stromal tumor
Gastric schwannoma
Online Access:https://doi.org/10.1007/s12672-023-00801-4

Internet

https://doi.org/10.1007/s12672-023-00801-4

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