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世界卫生组织/ISUP核分级诊断模型的多相比较研究,基于清细胞细胞癌的增强型CT图像

Chenyang Lu1, Yangyang Xia2, Jiamin Han1

  • 1School of Control Science and Engineering, Shandong University, Jinan, 250100, People's Republic of China.

Scientific reports
|May 27, 2024
PubMed
概括

使用增强计算机断层扫描 (CT) 图像的机器学习分类器有效地区分清细胞细胞癌 (ccRCC) 的核等级. 查阶段 (NP) CT 图像显示了对分类低级和高级ccRCC的最高诊断准确度.

关键词:
清细胞脏细胞癌.增强的计算机断层扫描技术.机器学习是机器学习.世卫组织/ISUP 核级核级

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