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

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. A total...

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Detalles Bibliográficos
Autores principales: Chen, Guoxian, Fan, Lifang, Liu, Jie, Wu, Shujian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587040/
https://www.ncbi.nlm.nih.gov/pubmed/37857756
http://dx.doi.org/10.1007/s12672-023-00801-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587040/
https://www.ncbi.nlm.nih.gov/pubmed/37857756
http://dx.doi.org/10.1007/s12672-023-00801-4

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