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基于放射学对抗增强乳房造影的良性和恶性乳房质量的区分:使用开源工具的可复制工作流程

Aykut Teymur1, Sibel Kul2, Ramazan Özgür Doğan3

  • 1University of Health Sciences Türkiye, Antalya City Hospital, Clinic of Radiology, Antalya, Türkiye.

Diagnostic and interventional radiology (Ankara, Turkey)
|February 12, 2026
PubMed
概括

用对比度增强乳房扫描 (CEM) 图像的放射学分析有效地区分良性与恶性乳房质量. 这种方法,使用重组CEM图像和机器学习,显示了改善乳腺癌诊断的希望.

关键词:
乳腺新生体的形成.计算机辅助诊断是指计算机辅助的诊断.增强对比度的乳房造 mammography 的使用.机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.

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