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Updated: Jul 19, 2025

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一个基于CT的临床,放射和放射性机器学习模型,用于预测固体瘤的恶性瘤 (UroCCR-75)

Cassandre Garnier1, Loïc Ferrer2, Jennifer Vargas2

  • 1Department of Imaging and Interventional Radiology, Hôpital Pellegrin, Place Amélie-Raba-Léon, 33076 Bordeaux, France.

Diagnostics (Basel, Switzerland)
|August 12, 2023
PubMed
概括

使用CT扫描特征的机器学习模型可以区分良性瘤和恶性瘤. 结合临床,放射学和放射学数据,可以提高癌检测的诊断准确性.

关键词:
这就是为什么CTCTCTCTCTCT在 RCC RCC 里面,有很多东西可以做.机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.脏瘤 脏瘤

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