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Application of artificial intelligence based on contrast-enhanced CT imaging for predicting peritoneal metastasis in patients with T3/T4 stage gastric cancer.

PLoS One · 2026 · PMC13175374 · PMID 42133711

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Although improvements in ROC-AUC did not reach statistical significance, the Inception-ResNetV2 model integrated with the SE module demonstrated comprehensive enhancements across other evaluation metrics, particularly in scenarios involving imbalanced datasets.

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