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用深度学习在单一的多任务框架中对心脏CT扫描用心脏脂肪组织体积和衰减量化的量化

Musa Abdulkareem1,2,3, Mark S Brahier4,5, Fengwei Zou6

  • 1Barts Heart Centre, Barts Health National Health Service (NHS) Trust, EC1A 4NP London, UK.

Reviews in cardiovascular medicine
|July 30, 2024
PubMed
概括

这项研究引入了一个深度学习框架,用于自动量化CT扫描后心脏脂肪组织 (EAT) 的体积和密度. 这种自动化方法确保了准确和可重复的测量,有助于评估心房的风险.

关键词:
这就是为什么CTCTCTCTCT吃饭吃饭吃饭吃饭吃饭衰减减弱化是一种深度学习是一种深度学习.它们的密度是密度密度.胸前脂肪组织的脂肪组织.在这个过程中,体积体积体积体积量.

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