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Updated: Jun 13, 2025

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磁共振成像放射学和机器学习在软组织肉瘤分级的诊断价值:关于当前状态的小评论

Fabian Schmitz1, Sam Sedaghat1

  • 1Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany (F.S., S.S.).

Academic radiology
|September 11, 2024
PubMed
概括

使用放射学,机器学习和MRI上的深度学习预测软组织肉瘤 (STS) 恶性瘤等级显示出有希望. 结合成像功能和先进模型,提高了准确性,有助于更好地诊断和规划治疗这些罕见的瘤.

关键词:
深度学习是一种深度学习.这就是为什么MRI是MRI.机器学习 机器学习无线电学 (Radiomics) 是一种无线电学.软组织肉瘤是软组织肉瘤.

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