Machine learning models predict postoperative survival in esophageal squamous cell carcinoma, suggesting effective risk stratification.
ML models using intratumoral and peritumoral radiomic features showed potential for predicting postoperative survival in ESCC patients, with the optimal GBDT model demonstrating effective risk stratification.
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Deng et al. (2026) studied this question.
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