A deep learning-based radiomic nomogram derived from visceral fat for early prediction of gastrointestinal stromal tumor risk grade
BackgroundGastrointestinal stromal tumors (GISTs) show substantial heterogeneity and are classified into distinct risk categories requiring different treatment strategies. Therefore, reliable preoperative risk stratification is crucial for treatment planning. Due to its inherent contrast, visceral a...
Tallennettuna:
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2026-06-01
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| Sarja: | Frontiers in Medicine |
| Aiheet: | |
| Linkit: | https://www.frontiersin.org/articles/10.3389/fmed.2026.1741436/full |
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