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Updated: May 5, 2026

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基于目标的深度学习网络监测非对比计算机断层扫描用于急性缺血性中风的小心肌梗塞核心

Hang Qu1, Hui Tang2, Dong-Yang Gao3

  • 1Department of Radiology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.

Frontiers in neurology
|October 4, 2024
PubMed
概括

一种新的深度学习模型准确地识别了急性缺血性中风 (AIS) 患者的CT扫描中的小心脏病核心. 这种人工智能工具提高了诊断准确度,并有助于评估疾病严重程度,以获得更好的治疗指导.

关键词:
急性缺血性中风是急性缺血性中风.没有对比度的CTCT.小型心脏病核心心脏病基于目标的深度学习网络.你只看一次 (YOLO)

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