A machine learning-based radiomics model for prediction of tumor mutation burden in gastric cancer
Purpose: To evaluate the potential of machine learning (ML)-based radiomics approach for predicting tumor mutation burden (TMB) in gastric cancer (GC).Methods: The contrast enhanced CT (CECT) images with corresponding clinical information of 256 GC patients were retrospectively collected. Patients w...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2023-11-01
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| Serie: | Frontiers in Genetics |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fgene.2023.1283090/full |
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