Development and Validation of Artificial-Intelligence-Based Radiomics Model Using Computed Tomography Features for Preoperative Risk Stratification of Gastrointestinal Stromal Tumors

Background: preoperative risk assessment of gastrointestinal stromal tumors (GISTS) is required for optimal and personalized treatment planning. Radiomics features are promising tools to predict risk assessment. The purpose of this study is to develop and validate an artificial intelligence classifi...

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Detalles Bibliográficos
Autores principales: Rengo, Marco, Onori, Alessandro, Caruso, Damiano, Bellini, Davide, Carbonetti, Francesco, De Santis, Domenico, Vicini, Simone, Zerunian, Marta, Iannicelli, Elsa, Carbone, Iacopo, Laghi, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219425/
https://www.ncbi.nlm.nih.gov/pubmed/37240887
http://dx.doi.org/10.3390/jpm13050717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219425/
https://www.ncbi.nlm.nih.gov/pubmed/37240887
http://dx.doi.org/10.3390/jpm13050717

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