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基于分解的药理动力学分析,以改善预测乳腺癌的病理信息

Liangliang Zhang1,2, Ming Fan3, Lihua Li4,5

  • 1School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China.

Journal of imaging informatics in medicine
|February 12, 2024
PubMed
概括

一种新的解卷法 (DEC) 准确估计了乳腺癌中的药理动力学参数. 这些参数的分区域分析改善了对瘤分子亚型和等级的预测.

关键词:
解体解体是一种解体.动态对比增强磁共振成像技术 动态对比增强磁共振成像技术药物动力学参数 药物动力学参数标记器的动态模型瘤子区域 瘤子区域

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