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Updated: Jun 19, 2026

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在T2WI采集中使用临床特征,纹理参数和基于机器学习的算法预测前列腺结节的ISUP等级预测

Teodora Telecan1,2, Alexandra Chiorean3, Roxana Sipos-Lascu3

  • 1Department of Anatomy and Embryology, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.

Cancers
|June 26, 2025
PubMed
概括

这项研究开发了一个AI工具,使用MRI放射学来区分活检前的侵袭性前列腺癌和惰类型. 该模型准确地预测了癌症等级,可能减少不必要的侵入性手术.

关键词:
人工智能的人工智能是人工智能.临床上显著的前列腺癌.机器学习是机器学习.多参数磁共振成像技术纹理分析 纹理分析

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