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一个基于多任务的深度学习框架,用于MRI Couinaud细分的里程碑检测

Dong Miao1,2, Ying Zhao3,4, Xue Ren3,4

  • 1Chengdu Institute of Computer Application, Chinese Academy of Sciences Beijing 100045 China.

IEEE journal of translational engineering in health and medicine
|November 19, 2024
PubMed
概括

这项研究引入了一种自动化方法,用于使用对比增强MRI进行Couinaud肝脏细分,从而改善手术规划. 这种新的方法可以准确地识别肝脏部分,提高精度,并可能减少肝脏手术中的并发症.

关键词:
库伊诺德的部分.这就是为什么MRI是MRI.标志检测 标志检测 标志检测多任务学习是多任务学习.细分化 细分化的细分化

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