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Updated: Feb 10, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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基于机器学习的PET-CT和临床病理模型用于预测非小细胞肺癌中中枢淋巴结转移:一个回顾性队列研究

Taiyu Bi1, Min Qiang1, Xiaotian Duan1

  • 1Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China.

PeerJ
|February 9, 2026
PubMed
概括

结合PET-CT成像和临床数据的机器学习模型准确地预测非小细胞肺癌 (NSCLC) 中的中枢淋巴结转移 (MLNM). 最好的模型 (TLPC) 实现了高精度,提供了个性化治疗的非侵入性工具.

关键词:
机器学习 机器学习中淋巴结转移的发生.在NSCLCLC中,我们可以看到.在PET-CT中使用.预测模型是一个预测模型.在XGBoost中使用.

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Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT10:28

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